Movatterモバイル変換


[0]ホーム

URL:


TW201209762A - Method of tracking images automatically - Google Patents

Method of tracking images automatically
Download PDF

Info

Publication number
TW201209762A
TW201209762ATW99127724ATW99127724ATW201209762ATW 201209762 ATW201209762 ATW 201209762ATW 99127724 ATW99127724 ATW 99127724ATW 99127724 ATW99127724 ATW 99127724ATW 201209762 ATW201209762 ATW 201209762A
Authority
TW
Taiwan
Prior art keywords
camera
image
tracking
module
automatic
Prior art date
Application number
TW99127724A
Other languages
Chinese (zh)
Other versions
TWI407386B (en
Inventor
Jung-Pin Sung
Su-Yin Wu
Original Assignee
Jung-Pin Sung
Su-Yin Wu
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jung-Pin Sung, Su-Yin WufiledCriticalJung-Pin Sung
Priority to TW99127724ApriorityCriticalpatent/TWI407386B/en
Publication of TW201209762ApublicationCriticalpatent/TW201209762A/en
Application grantedgrantedCritical
Publication of TWI407386BpublicationCriticalpatent/TWI407386B/en

Links

Landscapes

Abstract

The present invention discloses a method of automatically tracking images, which includes: generating related location data by a fixed camera and a PTZ camera; setting an alarm rule in a image analyzer; detecting whether an object in accordance with the alarm rule exists in the frame of the fixed camera by the image analyzer; controlling the PTZ camera to focus on the object by a related module based on the related location data if it objective exists; controlling the PTZ camera to track the object by the related module and the image analyzer; wherein, the related data comprises at least two located points data to define panning, tiling, zooming values of the PTZ camera, and the image analyzer can detect and catch the object continuously to facilitate the PTZ camera to track automatically.

Description

Translated fromChinese

201209762 六、發明說明: 【發明所屬之技術領域】 本發明係關於一種影像監控方法,特別係指一種同步 (零時差)的影像自動追蹤之監控方法。 【先前技術】 ^隨著科技的發展,傳統的保全人員搭配一般固定式攝 影機的監控方式已無法滿足人們對於安全監控的需求,由 於影像處理技術的快速發展、以及硬體價格的下降,可搭 配影像處理技術的f彡像監視裝置已逐漸被廣泛使用,促使 原本技術封閉的安全監控領域,朝向高科技的趨勢邁進。 一般而言,攝影機可略區分為固定式攝影機及旋轉變 焦式(pan/Tllt/Zoom,PTZ)攝影機兩種,其中旋轉變焦式攝 ^幾具有旋轉功能及變焦功能,包含快速球d·) 攝影機,而Μ式攝影機僅能觀察固㈣景的固定大小, 無法旋轉及變焦。201209762 VI. Description of the Invention: [Technical Field] The present invention relates to an image monitoring method, and more particularly to a synchronous (zero time difference) image tracking method for automatic tracking. [Prior Art] With the development of technology, the traditional security personnel with the general fixed camera monitoring method can not meet the needs of people for security monitoring, due to the rapid development of image processing technology, and the decline in hardware prices, can be matched Image processing technology has gradually been widely used, which has led to the trend of high-tech security in the field of closed security monitoring. In general, the camera can be divided into a fixed camera and a rotary zoom (pan/Tllt/Zoom, PTZ) camera. The rotary zoom camera has a rotating function and a zoom function, including a fast ball d·) camera. The Μ camera can only observe the fixed size of the solid (four) scene, and cannot rotate and zoom.

固定式攝影機可監視其所在場所内所有可疑的人、 然而’由於不具有旋轉或變焦功能,故,即使 在之場所内有一入侵者’此固定式攝影機仍 =侵者之影像係位於固定式攝影機無法監視 於固定::::、或因入侵者距離此固定式攝影機過遠而 於固疋影像中呈現過小之拳偾 之使用者有效的資訊 像而無法提供Μ式攝影機 之上影機可有效地克服固定式攝影機所面對 之上相4。在發現其所監視之場所中出現—人侵者後, 201209762 1疋=焦式攝影機可利用旋轉功能將其所產生之旋轉變焦 =像中人k者㈣像先移動至上述旋轉變焦影像之中央、 =接者運m力能放大人侵者之影像,如此-來,旋轉 艾焦攝影機之使用者便可清楚地看見入侵者之臉孔。 趨勢在=控市場上旋轉變焦式攝影機已達到普遍化的 =“機的㈣與改變焦距相監控 ::产慧影像系統(Intelligent Vide。System, ivs)或影像分 監=1:::像中可疑的物件並由旋轉變焦式攝影機 M 田發生大毛事件而事件扯Et廿非 疋、變焦式攝影機事先設定好的預設位置時,由於事發地 點並非旋轉對焦式攝影機 、毛 對焦至事發地點,亦即此影像分析^ ^法即刻旋轉並 法有效成攝影機及影像_ 【發明内容】 皿控的漏洞,本發明於是生焉。 影像之㈣_ ’本州供-種即時的 像二:之自動追_彡 機及一影像分析器建立—自動 ^轉對焦式攝影 像分析褒置分析_到—可疑物件時:二=使得影 可根據上述自動追縱關聯資料立即定位 …式攝影機 物件之位置並持續·此可疑 ',、、至上述可疑 稭此達到即時(或零時 201209762 差)自動監控的功效。 為達J上述目的,本發明揭露一種影像自動追縱之監 控方法,其步驟命冬. π 匕3.以—固定式攝影機及一旋轉變焦式 ^,立1聯定位資料;設定—分析警報規則於一影 刀析器中’藉由上述影像分析器偵測是否存在符合上述 分析警報規則之物件於該固定式攝影機之晝面中,·若是, 則利用目耳外換組根據上述關聯定位資料控制上述旋轉變 声:式!影機對準上述物件;藉由上述關聯模組及上述影像 分析裔控制上述旋轉變焦式攝影機追縱上述物件;其中, 2疋位貝料包合至少二定位點資料,藉以定義旋轉變焦 ^ f機的轉動(㈣、傾斜⑹e)、縮放值(zoom),而影像 斤器可根據77析警報規則持續彳貞測並擷取上述物件之位 置,以利於旋轉變焦式攝影機追蹤。 另方面,本發明更提供一種影像自動監控之方法, 包含:以一設備管理模組建立一攝影機資料;以上 :備官理松組建立一旋轉變焦式攝影機資料;以上述設 官理模組建立-影像分析器資料;以—關聯模组建立一 料;藉由一中央管理模組價測一影像分析 ^有,報發生;若是,則由上述關聯模組根據上述自 動追蹤關聯資料控制—旋轉變焦式攝影機以執行自動追 =方結束此影像監控方法。此外’本影像自動監 包含利用上述中央管理模組债測上述攝影機資料 否存在被選取之物件或位置;若是,則利用上述 4、.且將-旋轉變焦式攝影機之_影像轉移至上述被 201209762 選取之物件或位置。 本發明之另一優點在於上述技術特徵更可設定於複數 固定式攝影機及旋轉變焦式攝影機,以達到多場景的同步 自動監控功能。 以上所述係用以闡明本發明之目的、達成此目的之技 術手段、以及其產生的優點等等。而本發明可從以下較佳 實施例之敘述並伴隨後附圖式及申請專利範圍使讀者得以 清楚了解。 馨【實施方式】 本發明將以較佳實施例及觀點加以敘述,此類敘述係 解釋本發明之結構及步驟,僅用以說明而非用以限制本發 明之申請專利範圍。因此,除說明書中之較佳實施例以外, 本發明亦可廣泛實行於其他實施例中。 本發明之同步影像監控系統如第五圖所示,此影像監 控系統包含:設備通訊介面501、影像擷取設備502、固定 式攝影機503、旋轉變焦式攝影機504、網路攝影機505、 網路旋轉變焦式攝影機506、管理系統通訊介面601、中央 管理模組602、設備管理模組603、關聯模組604、影像處 理模組605、警報通知模組606、系統資料庫607及影像分 析器(Intelligent Video System, IVS)608。在本實施例中, 固定式攝影機503及旋轉變焦式攝影機504均係連接至影 像擷取設備502,藉以產生可透過網路傳輸的視訊串流, 而影像擷取設備502可包含影像擷取卡(Capture Card)、網 路視訊錄影機(NVR)或數位視訊錄影機(DVR)等等。而影像 201209762 擷取設備502、網路攝影機505、及網路旋轉變焦式攝影機 506均分別耦合至設備通訊介面5(M,藉以傳輸所獲得的影 像或視訊至中央管理模組602,其中,中央管理模組係耦 合至一管理系統通訊介面601,藉以與設備通訊介面501 進行有線或無線傳輸,其中,可利用乙太網路(ethernet)、 網際網路、WiFi無線網路或其他通訊網路進行無線傳輸。 而設備管理模組603、關聯模組604、影像處理模組605、 警報通知模組606、系統資料庫607、及影像分析器608 _均分別耦合至中央管理模組602,且中央管理模組602、設 備管理模組603、關聯模組604、影像處理模組605、警報 缉知模組606均可編程於電腦之處理裝置中,如處理器、 左:-位訊號處理器(digital signal processor, DSP)、微控制 器、特殊應用積體電路(application-specific integrated circuit,ASIC)、專門應用指令集處理器(ASIP)、晶片、多 晶片或晶片集、系統晶片(SoC)、多處理器系統晶片 _ (MPSoC)、可編程邏輯控制器(PLC)、圖形處理單元(GPU) 或場可程式閘陣列(field programmable gate array ,FPGA) 等等,而系統資料庫607係用以儲存攝影機資料及攝影機 關聯資料,其可為電腦可讀取媒體,如硬碟、光碟、快閃 記憶體(Flash)、隨機存取記憶體(RAM)或唯讀記憶體(ROM) 等等。其中,設備管理模組603係用以管理固定式攝影機 503、旋轉變焦式攝影機504、網路攝影機505及網路旋轉 變焦式攝影機506,進而建立影上攝影機的資料;而關聯 模組604則係用以建立攝影機關聯資料,並可於固定式攝 201209762 影機503畫面之特定區域被選擇或點擊時,控制旋轉變隹 A攝影機504之畫面中心立即轉移以利於拍攝 : 擊晝面所關連之地理位置;影像處理模組則是將中炎^ 楔組602所獲得的視訊串流轉換為可在榮幕上播^ 格式,如 JPEG、驗EG、MPEG1、MpEG2、ΜρΕ〇4、Η 2 = H.264 ’·警報通知模組6〇6則可在影像分析器6〇8谓例可 疑人物、或發生事件時,發出警報以提醒使用者。 相關執行本發明即時同步影像自動監控系統之 其t驟簡述如下:首先’選擇一固定式攝影機及選擇L旋 轉變焦式攝影機(PTZ eame⑻;然後,利用上述 影機及上述旋轉變焦式攝影機建立一關聯定位資料,二 含至少二定位點資料,藉以定義旋轉變焦式攝影機的轉: (pan)、傾斜(tlle)、縮放(z〇〇m)值;接著選擇一影 器(IVS)並設定—分析警報規則於上述影像分析^然^, 利用上述影像分析器根據上述分析警報規㈣測是 符合(或違反)上述分析警報規則之物件;若是, 述關聯模組根據關聯定位資料控制上述旋轉變焦式攝 對準上述物件;最後’藉由上述關聯模組及上述影像二斤 器控制上述旋轉變焦式攝影機追縱上述物件。藉此,: 明所揭露之旋轉變焦式攝影機可根據_定位:#料 至影像分析器所測得的可疑物件’並根據影像分 析益的偵測結果持續追蹤上述物件,進而達 自動監控功效。 幻办像 請參閱第-圖所示,第一圖為本發明最佳實施例之流 201209762 程圖,係揭露一種影像自動監杵 於步㈣…啟動一影像自::方 :=:至少一 Γ定式攝影機及至少-旋轉二式 攝〜機(Pan/Tllt/z〇om,Ρτζ),其中旋轉變 為快速球(speed dome)攝影機.妒% ' 〜父 士备祕、田丄1 機、後’於步驟⑽中,在 此^统裡,由一中央管理模組侦測是否存在一 系統資料庫中’上述攝影機資料係指由攝所 擷取產生的影像資料,具體而言, =攝〜機所 訊串流(video streaming),盆 "貝;:係為一視 再可壓縮為 JPEG、ΜΤΡΡΓ、 MPEG1、MPEG2、MPEG4、Η w * 若系統資料庫中並不存在任何攝影機資4料等格式,然而’ 103,利爾一 #很― J僻〜機貝科’則進入步驟 備管理模組取得固定式攝” H枓,亦即利用設 貝科庫中,·接著,^系統資料 存於系4 入步驟104中,由中央其 在攝衫機資料,進 變焦式攝影機資料於系^偵測是否存在至少一旋轉 、辦〜機貝才4於系統資料座 機資料係由上述凝轉變焦、式攝影 體而言,亦為一視訊串流:f生之-像資料,具 在任何旋轉變焦式攝影機資料 ^庫中並不存 備管理模組建立-旋轉變焦式攝影二驟15’利用設 管理模組取得旋轉變焦式攝影機之:=設備 統資料庫中· ^ W ’並儲存於系 入步驟_中了、由中Γ旋轉變焦式攝影機資料,則進 分析器資料於系統模組谓測是否存在至少-影像 充貝科庫中,具體而言,此影像分析器資 201209762 料係扣一種影像演算(image pr〇cessing)的流程,用以分析 m其可根據使用者之需求來設計,由於此影像 ,算流,並非本發明之重點所在,故於此不再詳加描述; 若系"先 > 料庫_並不存在任何影像分析器資料,則 2入步驟1G7中’利用設備管理模組建立—影像分析器資 !_ ·亦/卩取得衫像分析器的影像演算流程或影像演算 在自勤Ϊ /進人步驟1G8中’由中央管理模組侧是否存 = 聯資料於系統資料庫中,上述之自動追蹤關 關敎位資料及分析警報規則,其中關聯定位 貝枓包含至少兩定位點資料,1 影機之拍谧&你^ 係用以疋義旋轉變焦式攝 至固定式攝影機+畫面各個位置所需 以擷取由影像分析物f,疑轉變焦式攝影機之鏡頭可 通工且測得之物件(例如,但不限於人、交 、)至於°f、屈的定位方式將於本今明 而分析警報規則係由使用者 、况月曰另外敘明, 對象或物件及其監控範圍;二;:二以決定所欲監控的 動追蹤關聯資料,則進入步驊1〇9 f不存在任何自 動追蹤關聯資料,關於本步驟 二由關聯模組建立自 說明書中另外敘明;然後,於步驟執行流程將於本 執行關聯控制,上述之關聯控制〜’利用關聯模組 一符合分析警報規則之 物件時,或=像分析器侦測到 衫機的晝面中一物件或位置時, 者k取固定式攝 反應’移動輯㈣、式攝,機 以、式攝影機可立即 機鏡頭’俾使鏡頌所梅取影像 201209762 =含^述物件或位置’最佳為位於所擷取影像之中央區 ㈣:Π面影像中心,並可對焦於上述物件;接著,、於 於峰t *中央㈣模組_影像分析11是否有邀報 發生,亦即偵測固定攝影機之書中 ° =警報規則之物件;若是,-則::;合=) 其詳細流程將於本說明書另外敘明;若否, Π:::步=’二用者_結束本監-機之書面是 +央m㈣測固定攝影 使用者介ΓΓ 更具體而言,本發明包含一 並且於顯示幕上…機的拍攝畫面或影像, 物件或位置.^ *供使用者選取或點擊欲觀察之 次位置,右被選取或點擊, 聯模組執行關聯控制將旋轉 :之至^ 耳:或點擊之物件或位置,並之旦面移至被選 右無被選取或點擊,則 k冊次位置, 否結束此監控程序;最後,;:二由❹者決定是 驟116中,社击 、擇、,、口束監控%序,則於步 、、’°束此影像監控方法。 請參閱第二圖,太圖謹 縱關聯資料的方法,㈣109中建立自動追 201-209)及言^八/ 刀4建立關聯定位資料(步驟 中,關又〃析警報規則(步驟210-215)兩部分。j: V ’關聯定位資料之捸半, 刀,、 選取-固定式攝影機::下述:於步驟201中, 變焦式攝影機:二選取-旋轉 變焦式攝影機,:: 固定式攝影機相關聯之旋轉 機亦即,此旋轉變焦式攝影機必須可拍攝到 201209762 定式攝影機之視野;接著,於步㈣*,由 ㈣測系統資料庫中是否存在兩定位點 存在兩定位點之資料,則進入步驟204巾,定義關p 位資料之名稱,且 疋義關如疋 文字或數字以槪I 可透過使用者介面輸入 — ^為此關聯資料之名稱;然後,進入步驟205 中’儲存關聯定位資料於系統資料庫中;然而,回到步驟 驟32〇Γ:牛資料庫中並不存在兩定位點之資料,則進入步 、/驟2G6中’湘上述固定式攝影機設定一定 =’具體而言,可由使用者於固定式攝影 . -‘、,擊一物件或一位置,將其定義為一定位 :〜卞於步驟207巾’控制上述旋轉變焦式攝影機的 ’兄頭’“吏被選取物件或位置呈現於上述旋轉變焦式攝影 機所擷取之影像或畫面中^,完成定位程序。具體而言, 可由使用者控.j ’使得上述旋轉變焦式攝影機左右轉動 (pan)及上下傾斜(tile),進而將畫面中心對準並固定於上述 之定位點;接著’於步驟2〇8中’調整此旋轉變焦式攝影 機之旦面以付合物件大小,具體而言,係利用旋轉變焦式 攝影機之變焦功能,縮放(zoom)此旋轉變焦式攝影機之畫 面,並對焦於定位點,俾使位於定位點之物件或位置於旋 轉變焦式攝影機的晝面中佔有一定比例的面積且清晰可 見,藉以達到監控之功效。 然後,於步驟209中,將上述之定位點資料儲存於系 統資料庫中,具體而言,係將於定位點時旋轉變焦式攝影 機之左右轉動(pan)、上下傾斜(Tile)及 縮放大小(zoon)值分 ' [S] 12 201209762 而儲存為一定位點資料。然後並回到 步驟203中,重複步驟脈以建立另—定位 的資料’而根據上述兩定位點的資料’即可於步驟二2中2 定義關聯定位資料之名稱並於步驟2 定位資料係利用上述兩定位點,以計算出將旋轉變隹: 影機對準至固定式攝影機畫面中其他各:所: (Χ’Υ,Ζ)’亦即旋轉變焦式攝影機之拍攝料移轉至上A fixed camera can monitor all suspicious people in its place, but 'because there is no rotation or zoom function, even if there is an intruder in the place', this fixed camera still has the image of the invaders in the fixed camera. Unable to monitor the fixed::::, or because the intruder is too far away from the fixed camera, the user can display the information of the small fist in the solid image, but can not provide the camera on the camera. Overcoming the upper phase of the fixed camera. After the occurrence of the person invading in the place where it is found, the 201209762 1疋=focal camera can use the rotation function to rotate the rotation zoom generated by it to the center of the above-mentioned rotary zoom image. , = Receiver can force the image of the invaders, so - users who rotate the Ai Jiao camera can clearly see the face of the intruder. The trend is to rotate the zoom camera in the = control market has become universal = "machine (four) and change focus monitoring:: intelligent imaging system (Intelligent Vide. System, ivs) or image sub-monitoring = 1::: in the image Suspicious objects are caused by a large-scale incident in the rotating zoom camera M field, and when the event is set to a preset position set by the zoom camera or the zoom camera, the location of the incident is not a rotating focus camera, and the focus is on the spot. That is, this image analysis ^ ^ method is immediately rotated and the method is effective into a camera and an image _ [Summary of contents] The loophole of the dish control, the invention is then oyster. The image of (4) _ 'the state of supply - kind of instant like two: automatic chase _ 彡 machine and an image analyzer set up - automatic ^ turn focus photographic image analysis 褒 analysis _ to - suspicious objects: two = make the shadow can be immediately located according to the above automatic tracking related data ... the location of the camera object and continue · This suspicious ',,, to the above suspicious straw to achieve the immediate (or zero time 201209762 poor) automatic monitoring effect. For the above purpose of J, the present invention discloses an image automatic tracking Monitoring method, the steps of the winter. π 匕 3. to - fixed camera and a rotating zoom ^, vertical 1 positioning data; set - analysis of the alarm rules in a shadow knife - by the above image analyzer Detecting whether there is an object conforming to the above-mentioned analysis alarm rule in the face of the fixed camera, and if so, controlling the above-mentioned rotary voice according to the above-mentioned associated positioning data by using the eye-external group; the camera is aligned with the object; Controlling, by the above-mentioned associated module and the image analysis, the rotating zoom camera to track the object; wherein, the 2 position bead material includes at least two positioning point data, thereby defining the rotation of the rotating zoom machine ((4), tilting (6) e), zoom value (zoom), and the image buffer can continue to guess and capture the position of the object according to the 77 alarm rule, in order to facilitate the rotation zoom camera tracking. In addition, the present invention further provides an automatic image monitoring The method comprises: establishing a camera data by using a device management module; above: preparing a rotating zoom camera data by the official Guansong group; The module establishes the image analyzer data; establishes a material with the associated module; and the image is analyzed by a central management module; the report is generated; if so, the associated module automatically tracks the association according to the above Data Control—Rotate the zoom camera to perform the automatic tracking method to end the image monitoring method. In addition, the image auto-monitoring includes using the above-mentioned central management module to measure whether the camera data has the selected object or position; if so, the use The above-mentioned 4, and transfer the image of the rotary zoom camera to the object or position selected by 201209762. Another advantage of the present invention is that the above technical features can be set to a plurality of fixed cameras and rotary zoom cameras, Achieve simultaneous automatic monitoring of multiple scenes. The above is intended to clarify the object of the invention, the technical means for achieving the object, the advantages thereof, and the like. The present invention will be apparent from the following description of the preferred embodiments and the accompanying drawings and claims. The present invention will be described with reference to the preferred embodiments and the accompanying drawings, which are intended to illustrate and not to limit the scope of the invention. Therefore, the present invention may be widely practiced in other embodiments in addition to the preferred embodiments in the specification. As shown in the fifth figure, the image monitoring system of the present invention comprises: a device communication interface 501, an image capturing device 502, a fixed camera 503, a rotary zoom camera 504, a network camera 505, and a network rotation. Zoom camera 506, management system communication interface 601, central management module 602, device management module 603, association module 604, image processing module 605, alarm notification module 606, system database 607 and image analyzer (Intelligent Video System, IVS) 608. In this embodiment, both the fixed camera 503 and the rotary zoom camera 504 are connected to the image capturing device 502 to generate a video stream that can be transmitted through the network, and the image capturing device 502 can include an image capturing card. (Capture Card), Network Video Recorder (NVR) or Digital Video Recorder (DVR), etc. The image 201209762 capture device 502, the webcam 505, and the network rotary zoom camera 506 are each coupled to the device communication interface 5 (M) for transmitting the obtained image or video to the central management module 602, wherein the central The management module is coupled to a management system communication interface 601 for wired or wireless transmission with the device communication interface 501, which can be performed using an ethernet, internet, WiFi wireless network or other communication network. The device management module 603, the association module 604, the image processing module 605, the alarm notification module 606, the system database 607, and the image analyzer 608_ are each coupled to the central management module 602, and are centrally coupled. The management module 602, the device management module 603, the association module 604, the image processing module 605, and the alarm detection module 606 are all programmable in a processing device of a computer, such as a processor, a left: - bit signal processor ( Digital signal processor, DSP), microcontroller, application-specific integrated circuit (ASIC), application-specific instruction set processor (AS) IP), wafer, multi-chip or wafer set, system-on-chip (SoC), multiprocessor system chip _ (MPSoC), programmable logic controller (PLC), graphics processing unit (GPU), or field programmable gate array (field) Programmable gate array (FPGA), etc., and system database 607 is used to store camera data and camera related data, which can be computer readable media, such as hard disk, optical disk, flash memory, random memory The memory management unit (RAM) or the read only memory (ROM), etc., wherein the device management module 603 is used to manage the fixed camera 503, the rotary zoom camera 504, the network camera 505, and the network rotary zoom camera. 506, and then establish the data of the camera; and the associated module 604 is used to establish the camera-related data, and can control the rotation of the A camera when the specific area of the fixed camera 201209762 camera 503 is selected or clicked. The center of the 504 screen is immediately transferred to facilitate the shooting: the geographic location of the smashing surface; the image processing module converts the video stream obtained by the zhongwei^ wedge group 602 into On-screen broadcast ^ format, such as JPEG, EG, MPEG1, MpEG2, ΜρΕ〇4, Η 2 = H.264 '·Alarm notification module 6〇6 can be used in the image analyzer 6〇8 to pretend suspicious people, or When an event occurs, an alarm is issued to remind the user. The related instant execution of the instant synchronization image automatic monitoring system of the present invention is briefly described as follows: First, 'select a fixed camera and select an L-rotation zoom camera (PTZ eame (8); then, utilize The above-mentioned camera and the above-mentioned rotary zoom camera establish an associated positioning data, and at least two positioning point data are included, thereby defining a rotation of the rotary zoom camera: (pan), tilt (tlle), zoom (z〇〇m) value; Then selecting an imager (IVS) and setting-analysing the alarm rule to the above image analysis ^, using the image analyzer to determine (or violate) the object of the above analysis alarm rule according to the analysis alarm rule (4); if yes, The association module controls the rotating zoom lens to align the object according to the associated positioning data; finally, the above rotating module is controlled by the associated module and the image two-pronger Video player 追縱 the above items. In this way, the rotary zoom camera disclosed by Ming can continuously track the above objects according to the detection of the suspicious object measured by the image analyzer and according to the detection result of the image analysis, thereby achieving automatic monitoring effect. Please refer to the figure-figure, the first figure is the flow 201209762 of the preferred embodiment of the present invention, which discloses an image automatic monitoring in step (4)...starting an image from::party:=: at least one Γ定定机 and at least-rotating two-shot machine (Pan/Tllt/z〇om, Ρτζ), in which the rotation becomes a speed dome camera. 妒% ' 〜 父 司 秘, 田丄 1 machine, After the step (10), in the system, a central management module detects whether there is a system database in which the above camera data refers to image data generated by the camera, specifically, ~ Video streaming, basin "Bei;: is one view and then compressible to JPEG, ΜΤΡΡΓ, MPEG1, MPEG2, MPEG4, Η w * If there is no camera in the system database 4 Material and other formats, however, '103, Lier a # very - J secluded ~ machine Beko' then enter the step to prepare the management module to obtain a fixed camera" H枓, that is, using the Becco library, then, ^ system The data is stored in the system 4 into the step 104, by the center of the camera data, into the zoom The camera data is detected in the system ^ to detect whether there is at least one rotation, the machine is only 4, the system data is based on the above-mentioned condensation zoom, the type of camera is also a video stream: f-like image The data is stored in any rotary zoom camera data library. The management module is not stored. - Rotary zoom photography 2 step 15' Use the management module to obtain the rotary zoom camera: = Equipment database · ^ W 'and stored in the step _, rotated by the zoom camera, then the analyzer data is in the system module to determine whether there is at least - image filling library, specifically, this image analysis The device 201209762 is a process of image pr〇cessing, which is used to analyze m. It can be designed according to the needs of users. Because of this image, the calculation is not the focus of the present invention, so it is not If you do not have any image analyzer data, then go to step 1G7 and use the device management module to create the image analyzer! _ · also / get the shirt Like analysis The image calculation process or image calculation in the self-service / step 1G8 'is stored by the central management module side = joint data in the system database, the above automatic tracking of the information and analysis of alarm rules, The associated positioning shellfish contains at least two positioning point data, 1 camera shooting & you ^ is used to rotate the zoom lens to the fixed camera + screen position to capture the image analysis object f, doubt The lens of the zoom camera can be passed through and the measured objects (for example, but not limited to people, pay, and). The positioning method of the ff and the bend will be analyzed by the user and the month. Description, object or object and its scope of monitoring; 2;: 2 to determine the dynamic tracking related data to be monitored, then go to step 1〇9 f there is no automatic tracking associated data, about this step 2 by the associated module The establishment is further described in the manual; then, in the step execution process, the execution control is performed in the present execution, and the above-mentioned associated control is used to use the associated module to match the object of the analysis alarm rule, or = When the analyzer detects an object or position in the face of the shirt, the k takes a fixed photo response 'moving series (four), type camera, and the camera can immediately take the camera lens to make the image 201209762=The object or position is best located in the central area of the captured image (4): the image center of the image and can focus on the above objects; then, Yu Yufeng t * Central (4) Module_Image Analysis 11 Whether there is an invitation to report, that is, detecting the object of the alarm rule in the book of the fixed camera; if yes, then::; combined =) The detailed process will be described separately in this specification; if not, Π::: Step = 'two users _ end the supervision - machine written is + central m (four) measurement fixed photography user introduction More specifically, the present invention contains a display screen or image on the display screen, object or position .^ * For the user to select or click the position to be observed, the right is selected or clicked, and the associated control of the module will be rotated: to the ear: or click on the object or position, and the face is moved to the selected No right is selected or clicked, then k book position, no end this monitoring Sequence; Finally,;: ❹ who is determined by the two step 116, social blow port select ,,,% sequence monitoring beam, in the step ,, '° This video monitor beam method. Please refer to the second figure, the method of arbitrarily related data, (4) 109 establish automatic chasing 201-209) and utter ^8/knife 4 to establish the associated positioning data (in step, the alarm rules are also analyzed) (steps 210-215) ) Two parts. j: V 'Associated positioning data, half, knife, and selection - fixed camera:: The following: In step 201, zoom camera: two selection - rotary zoom camera, :: fixed camera The associated rotary machine, that is, the rotary zoom camera must be able to capture the field of view of the 201209762 stereo camera; then, in step (4)*, if there are two anchor points in the (four) test system database, then there are two anchor points. Go to step 204, define the name of the p-bit data, and enter the text or number as 槪I through the user interface - ^ the name of the associated data; then, go to step 205 to 'store the associated location The data is in the system database; however, back to step 32: If there is no data of two anchor points in the cattle database, go to step, /2G6, and set the above fixed camera. = ' Specifically, the user can perform fixed photography. - ',, hit an object or a position, define it as a positioning: ~ 卞 in step 207 towel 'control the above-mentioned rotary zoom camera's 'brother' “吏The selected object or position is displayed in the image or screen captured by the above-mentioned rotary zoom camera^, and the positioning procedure is completed. Specifically, the user can control the left and right rotation of the above-mentioned rotary zoom camera. And tilting up and down, and then aligning and fixing the center of the screen to the above-mentioned positioning point; then 'in step 2〇8' adjust the surface of the rotating zoom camera to adjust the size of the component, specifically Using the zoom function of the rotary zoom camera, zoom the zoom camera and focus on the positioning point so that the object or position at the positioning point occupies a certain proportion of the area of the rotary zoom camera And clearly visible, thereby achieving the effect of monitoring. Then, in step 209, the above-mentioned positioning point data is stored in the system database, specifically, The left and right rotation (pan), up and down tilt (Tile) and zoom size (zoon) value of the zoom camera will be stored as an anchor point data when the positioning point is rotated. Then, the process returns to step 203. Repeat the step pulse to create another-located data 'based on the data of the two positioning points', and then define the name of the associated positioning data in step 2 2 and locate the data system in step 2 by using the above two positioning points to calculate The rotation will change: The camera is aligned to the rest of the fixed camera screen:: (Χ'Υ,Ζ)', that is, the rotating zoom camera's shot is transferred to the top

,所需的轉動(pan)、傾斜⑴⑷及縮放值(z〇〇m),詳細的計 异方式如下所述:定義一平面座標(x,y)於固定攝影機的圭 面中’假設第一定位點於固定攝影機的晝面中座標為 (XU!) 1¾第—疋位點座標為(X2,y2),而旋轉變焦式攝影 由原點轉動至第-定位點的_值為&,轉至第二定位點 的㈣值為I,則可定義一絕對轉動參數 ^ase—,且由此絕對轉動參數 定義-相對轉動參數c〇m_p=(Xi_Base 一 ρ)/χι,而由絕對轉 動參數Base_P及相對轉動參數c〇m_p即可計算出固定式 攝影機的畫面中其他欲觀察位置的pan值χ,其關係式如 下··, the required rotation (pan), tilt (1) (4) and scaling value (z〇〇m), the detailed way of counting is as follows: define a plane coordinate (x, y) in the fixed camera's face] assuming the first The coordinates of the anchor point in the plane of the fixed camera are (XU!) 13⁄4—the coordinate of the position is (X2, y2), and the value of the rotary zoom photography from the origin to the first position is & The value of (4) to the second positioning point is I, then an absolute rotation parameter ^ase_ can be defined, and thus the absolute rotation parameter definition - relative rotation parameter c〇m_p = (Xi_Base - ρ) / χι, and by absolute rotation The parameter Base_P and the relative rotation parameter c〇m_p can be used to calculate the pan value 其他 of other positions to be observed in the screen of the fixed camera. The relationship is as follows:

X=Base_P+x*Com_P 其中,X係指欲觀察位置於固定式攝影機晝面中的橫 座標值,透過上述關係式即可得到旋轉變焦式攝影機轉動 至此位置的pan值X。同理,假設旋轉變焦式攝影機由原 點傾斜至第一定位點的tile值為Υι,至第二定位點的⑴^ 值為丫2 ,則可定義一絕對傾斜參數 ’ r , 13 201209762X=Base_P+x*Com_P where X is the horizontal coordinate value to be observed in the face of the fixed camera. Through the above relationship, the pan value X at which the rotary zoom camera rotates to this position can be obtained. Similarly, assuming that the rotary zoom camera is tilted from the origin to the first anchor point, the tile value is Υι, and the second anchor point has a (1)^ value of 丫2, an absolute tilt parameter ’ r , 13 201209762 can be defined.

Base Ύ=((γ , 定義:相對;百,A Y2)/(y2/y 1 —1),且由此絕對傾斜來數 疋義相對傾斜參數CGmT=(Yi_Bas 针,數 斜參數Base Τ θ 4 ^ ) 而由絕對傾Base Ύ = ((γ , definition: relative; hundred, A Y2) / (y2 / y 1 -1), and thus the absolute tilt to count the relative tilt parameter CGmT = (Yi_Bas needle, number of oblique parameters Base Τ θ 4 ^ ) and by absolute tilt

Se~/T及相對傾斜參數c〇m τ即 攝影機的書面中;# — ΡΤδ十异出固定式 面中其他欲硯察位置的¥值,其 Y-Base—T+y*c〇m—了 h * 其中,y係指欲觀察位置於固定式攝 座標值,而利用卜攝〜機晝面中的縱 引用上述關係式即可得到旋轉 動至此位置的tileytev田4 t 、辦和機轉 笛一 —/ 取後,假設旋轉變焦式攝影機於 第疋位點的縮放值(z〇〇為 ; 值為7 1主弟一疋位點的zoom '、·、 2 ,則可定義一絕對縮放失Se~/T and the relative tilt parameter c〇m τ is the written part of the camera; #— ΡΤδ十异出出的面面 other value of the position to be observed, Y-Base-T+y*c〇m— h * where y means that the position to be observed is fixed at the fixed position value, and the longitudinal reference to the above relationship in the face of the machine can be used to obtain the tileytev field 4 t, the machine and the machine Flute-- After taking it, assume that the zoom value of the rotary zoom camera at the third position (z〇〇 is; the value is 7 1 the same as the room's zoom ', ·, 2, then an absolute zoom can be defined.

Ba^e Z=((Zl*(y2/yi))_z^ 广放參數Com少(Zi_Base_z)/yi,而由絕對縮放 多數ase一Z及相對縮放參數c〇m 2即 影機的畫面中其他欲觀察位置的z-值Ba^e Z=((Zl*(y2/yi))_z^ Wide-ranging parameter Com less (Zi_Base_z)/yi, and by absolute scaling most ase-Z and relative scaling parameters c〇m 2 is the picture of the camera Other z-values of the position to be observed

Z=Base_Z+y*Com_Z 亦其中,y係指欲觀察位置於固定式攝影機畫面中的縱 座標值,㈣用上述_切可得_轉變焦式攝影機轉 動至此位置的縮放(2_)值z。據此,只要由固匕 機及方疋轉變焦式攝影機定義兩定位點,即可得到上述關係 式的各參數值,進而可透過上述關係式將固定式攝影機的 晝面中的各個位置(x,y)轉換為(χ,γ,ζ)值,亦即得到旋轉變 焦式攝影機由原點定位到各個位置所需要的轉動(㈣、傾 斜(Hie)及縮放(zoom)值,藉此,當影像分析器備測到固定 攝影機之畫面中任一點(x,y)符合分析警報規則而觸㈣ 201209762 報時’或固定摄寻)趟 攝々機之畫面中任一點(x,y)被選取或點擊 π γ 7、聯模、组即可立即將(X,y)轉換為(X,Y,Z)值並根據此 m值控制旋轉變焦式攝影機至觸發警報之位置或是 洛點擊之位置’進而達到即時、零時差的監控。 規則1=疋位貝料建立完成後’即可進入設定分析警報 卜π岑徐八j 以下所述:於步驟210時,债測 入步Li:二分析警報規則;若是’則進 丁^自動相關聯資料’·却像分析器中並不存在分析攀 民、貝1 ’則進入步驟211巾,由使 具體而言,❹ 圍’大體上可分為三種 77析益的刀析耗 範圍型,其令,半線型J=:;、雙半線型及區域 拍攝晝面中書—停用者僅需於固定式攝影機之 — 條線由此線所區分的苴Φ 息曰A 分析器之分析範園;雙半 /、 邊P為影像 機之拍攝晝面中畫兩條”曰用者需於固定式攝影 為影像分析器之;析範圍這兩條線所分割的部分區塊 定式攝影機之拍攝書面中圈:區:範圍型係由使用者於固 辦旦由中圈選一特定範 或外的區塊即為影像分析器之分析、=圍内 Η擇偵測影像物件型態,具體而t,:^於步驟212 定於影像分析H之分析="驟係用以決 可包含,但一交標,^ 車等等)、人、動物或任何移動物體等等.車、腳踏 213令,由使用者於固定攝影機之拍攝畫面之顯示 201209762 繪偵測規則,具體而言,若於+ 則型態為半線型,則使用者可ς中所^擇的偵測規 線;若選擇的_規則型態為雙半線:二 述顯示幕上描綠任兩條線;若;=匕則使用者可於上 範圍型,則使用者可於上述顯型態為區域 形,如圓形、矩形、·^ 描4至少一封閉圖 將卜、十角形等等。接著,於步驟2H中, 測規則及偵測影像物件型態儲存為二 規貝J。取後,於步驟215中 斤s報 析警報規則儲存為自動追縱關聯㈣。聯定位資料及此分 π參㈣二®I ’本圖詳細描述步驟1 驟如下所述:首先,於步驟3〇1中, ^庫内疋否存在自動追_聯賴;然後,於 物件,且駚u足攝衫機畫面中觸發警報之 物件,具體而&,影像分析器可根 ^ ^ ^,,, ^,,. ^ ^ # j 延)上述分析警報規則之物件;接著,於步 $ 用關聯模組計算旋轉變焦式攝影機之拍攝晝面中上= 物件之所需距離,呈辦&山 動至上述Z=Base_Z+y*Com_Z Also, y is the ordinate value to be observed in the fixed camera screen, and (4) is the zoom (2_) value z rotated to the position by the above _cutting _ zoom camera. According to this, as long as the two positioning points are defined by the fixing machine and the square-turning zoom camera, the parameter values of the above relational expression can be obtained, and the respective positions in the face of the fixed camera can be transmitted through the above relationship (x). , y) is converted to (χ, γ, ζ) value, that is, the rotation ((4), tilt (Hie) and zoom (zoom) values required for the rotary zoom camera to be positioned from the origin to each position, thereby The image analyzer prepares that any point (x, y) in the fixed camera's picture meets the analysis alarm rule (4) 201209762 Timekeeping 'or fixed search'. Any point (x, y) in the picture of the camera is selected. Or click π γ 7, joint mode, group to immediately convert (X, y) to (X, Y, Z) value and control the position of the rotary zoom camera to trigger the alarm or the click position according to the m value. 'To achieve immediate, zero-day monitoring. Rule 1 = After the completion of the establishment of the beak material, you can enter the setting analysis alarm. π岑徐八j The following is described: In step 210, the debt measurement step Li: two analysis alarm rules; The related data '·But there is no analysis in the analyzer, the analysis of the climber, the shell 1 ' then enter the step 211 towel, by the specifics, the circumference can be divided into three kinds of 77 analysis of the knife analysis range , the order, the half-line type J=:;, the double-half line type and the area shooting in the middle of the book - the deactivater only needs to be in the fixed camera - the line is distinguished by the line 苴 Φ 曰 曰 A analyzer analysis Fan Yuan; double half /, side P is the image of the video camera, two pictures in the middle of the picture. "The user needs to use the fixed image as the image analyzer; the resolution of the two lines divided by the partial block fixed camera Shooting in the middle circle: Area: The range type is selected by the user in the fixed circle. The block is selected for the analysis of the image analyzer, and the image type is detected. And t, : ^ in step 212 is determined by the analysis of image analysis H = " Crossing, ^ car, etc.), people, animals or any moving objects, etc. Cars, pedals 213 orders, by the user on the fixed camera shooting screen display 201209762 painting detection rules, specifically, if + If the type is a half line type, the user can select the detection rule line; if the selected _ rule type is a double line: two lines on the display screen are green; if; If the user can be in the upper range, the user can display the shape in the above-mentioned display state, such as a circle, a rectangle, a drawing, at least one closed image, a pentagon, etc. Then, in step 2H. The measurement rule and the detected image object type are stored as two rules. After the extraction, in step 215, the alarm rule is stored as an automatic tracking association (4). The joint positioning data and the point π reference (four) two ® I 'This figure describes step 1 in detail as follows: First, in step 3〇1, there is no automatic chasing in the library; then, the object is triggered, and the alarm is triggered in the screen of the camera. Object, specific & image analyzer can ^ ^ ^,,, ^,,. ^ ^ # j 延) above analysis of the alarm rules Object; desired Next, in step associated with $ module calculates the rotation photographing day of the camera zoom-type surface on the object distance =, was run & Hill movable to above

點,座^ 假設觸發警報之物件位於A 述關^ 3)’關聯模組可根據兩定位點定義出的上 :=轉換為⑽別’亦即旋轉變焦㈣^ 由原A疋位到(X3,y3)所需要的轉動(pan)、傾斜㈣ (zoom)值,假設目前旋轉變隹a 到B點…/ 機之晝面中心係對應 ),關聯模組可根據上述關係式,將 -轉換為队义別’亦即旋轉變焦式攝影機由原點定位到 Γ 〇 16 201209762 (X4,y4)所需要的轉動(pan)、傾斜(tile)及縮放(zoom)值,然 後利用關聯模組計算(Χ3,γ3,Ζ3)與(χ4,γ4,Ζ4)的差異(ΔΧι, △ Υπ ΛΖ!),此即為將旋轉變焦式攝影機之晝面由目前位 置(B點)移動至物件位置(A點)之所需距離;接著,於步驟 3〇4中,根據上述之所需距離(ΔΧι,ΛΥι,ΔΖι),控制此 旋轉變焦式攝影機之鏡頭,俾使其顯示晝面對準此物件位 置由於本發明所建立之關聯定位資料,可將固定式攝影 機的畫面中的各個位置(x,y)轉換為(χ,γ,ζ)值,亦即旋轉^ 焦式攝影機由原點定位到各個位置所需要的轉動(pan)、傾 斜(tile)及縮放(zoom)值,故當影像分析器偵測到觸發警報 之物件時,旋轉變焦式攝影機即可根據關聯定位資料立即 將其畫面移轉至上述物件之位置,進而達到零時差的自動 功效;然後,於步驟3〇”,由影像分析器偵測此 物件疋否仍存在於固定式攝影機之拍攝畫面中;若益,則 30" ’由關聯模組控制此旋轉變焦式攝影機之 二金面:預设位置;然而,若此物件仍位於固定式攝影 機的晝面中,則回到步驟3〇 取此物件之τ μ $ :甲由心像为析裔偵測並擷 匕物件之下-位置,再經由步驟3〇3及3〇4 ::轉變焦式攝影機對準於此物件之下一位置,最 二3〇5 貞測此物件是否仍於固定式攝影機之書面 ^右疋,則繼續重複步驟302-304,聆γ此物杜π~ σ ® , I .,, 皿徑此物件。因此, 要此物件仍在固定式攝影機之 如何變動,影像分析器均可僧固門—其位置 攝衫機可立即監控並持續追 轉交…、式 迢蹤此物件,進而達到同步的影 201209762 像自動追縱功效。 請參閱第四圖,本圖詳細描述於步驟114中移動旋轉 變焦式攝影機之晝面至被選取物件或位置之方法,其步驟 如下所述:首先,於步驟401中,搜尋系統資料庫/中^關 聯,位資料;然後,進入步驟術中,利用關聯模組操取 2定式攝影機畫面中被選取或點擊之物件或位置,具體而 言,當使用者移動游標至顯示固定式攝影機晝面之顯示幕 上的了物件或位置並點擊時,關聯模組即可操取此物件或 位置;然後,於步驟403巾,利用關聯模組計算旋轉變隹 式攝影機之晝面移動上述物件或位置之所需距離,且體 :,假設被點擊位置為c點’座標(X5,y5),關聯模組可根 據兩疋位點定義出的上述關係式,將其轉換為(Μ 亦即旋轉變焦式攝影機由原點定位到(x5,y5)所需要的轉動 ::)之::(广)及縮放(Z〇°m)值’假設目前旋轉變焦式攝 …心仍對應到Bfi,座標為(x4,y4),關聯模組 =根據上述關係式,將其轉換為(Χ4,Υ4,Ζ4),亦即旋轉變焦 ’、攝影機由原點定位到^4)所需要的轉動(卿)、傾斜 ⑽)及縮放(zoom)值,然後利用關聯模組 與(x4,y4,z4)的差異Λγ Λ7、 ^^5,Υ5,Ζ5) 、(2,ΔΥ2,ΔΖ2),此即為將旋轉變焦 :二機之晝面由目前位置(Β點)移動至被選取之物件或 =㈤的所_離;接著’於步驟4(Μ中,根據上述 之金:距離(△X^AYh ΔΖ2),控制此旋轉變焦式攝影機 效Γ ’使其對準此物件或位置,進而達到即時監控之功Point, seat ^ Assume that the object that triggered the alarm is located at A. 3) The associated module can be defined according to the two positioning points: = converted to (10) don't rotate the zoom (four) ^ from the original A to (X3 , y3) required rotation (pan), tilt (four) (zoom) value, assuming that the current rotation 隹 a to B point ... / machine center of the face corresponding to), the associated module can be based on the above relationship, will - convert For the team, the rotary zoom camera is positioned from the origin to the pan, tile, and zoom values required by 〇 2012 16 201209762 (X4, y4), and then calculated using the associated module. The difference between (Χ3, γ3, Ζ3) and (χ4, γ4, Ζ4) (ΔΧι, △ Υπ ΛΖ!), which is to move the face of the rotary zoom camera from the current position (point B) to the object position (A The required distance of the point; then, in step 3〇4, the lens of the rotary zoom camera is controlled according to the required distance (ΔΧι, ΛΥι, ΔΖι) described above, so that the display surface is aligned with the object position Due to the associated positioning data established by the present invention, each bit in the screen of the fixed camera can be Set (x, y) to (χ, γ, ζ) value, that is, the pan, tile, and zoom values required for the rotary camera to position from the origin to each position. Therefore, when the image analyzer detects the object that triggers the alarm, the rotary zoom camera can immediately shift its screen to the position of the object according to the associated positioning data, thereby achieving the automatic effect of zero time difference; then, in step 3〇 ", the image analyzer detects whether the object still exists in the shooting picture of the fixed camera; if it is beneficial, then 30" 'the two gold faces of the rotary zoom camera are controlled by the associated module: preset position; however If the object is still in the face of the fixed camera, return to step 3 to retrieve the object τ μ $ : A is detected by the heart image and the object is below - position, and then via step 3 3 and 3〇4 :: The zoom camera is aligned with the next position of the object, and the second is 3〇5. If the object is still in the written position of the fixed camera, continue to repeat steps 302-304. Listen to γ this thing Du π~ σ ® , I .,, Therefore, if the object is still changing in the fixed camera, the image analyzer can fix the door—the position of the camera can be immediately monitored and continuously tracked, and the object can be traced to achieve the synchronized image 201209762 image. Referring to the fourth figure, this figure describes in detail the method of moving the face of the rotary zoom camera to the selected object or position in step 114, the steps of which are as follows: First, in step 401, search System database / medium ^ association, bit data; then, enter the step operation, use the associated module to manipulate the selected or clicked object or position in the 2 fixed camera screen, specifically, when the user moves the cursor to the display fixed When the object or position on the display screen of the camera is clicked, the associated module can operate the object or position; then, in step 403, the associated module is used to calculate the movement of the rotary camera. The required distance of the object or position, and the body: assuming that the clicked position is the point c (X5, y5), the associated module can be defined according to the two points. The above relationship is converted to (Μ, that is, the rotation required by the rotary zoom camera from the origin to (x5, y5)::):: (wide) and zoom (Z〇°m) values' Assume that the current rotating zoom camera...the heart still corresponds to Bfi, the coordinates are (x4, y4), and the associated module= according to the above relationship, convert it to (Χ4, Υ4, Ζ4), that is, rotate the zoom', the camera consists of The origin is located to the rotation (clear), tilt (10), and zoom values required by ^4), and then the difference between the associated module and (x4, y4, z4) Λ γ Λ 7, ^ ^ 5, Υ 5, Ζ 5 ), (2, ΔΥ2, ΔΖ2), this is the rotation zoom: the plane of the two machines is moved from the current position (Β point) to the selected object or = (5); then 'in step 4 (Μ According to the above gold: distance (△X^AYh ΔΖ2), the rotary zoom camera is controlled to be 'aligned to the object or position, so as to achieve real-time monitoring

18 201209762 a上述敘述係為本發明之較佳實施例。此領域之技藝者 」于乂項會其係用以說明本發明而非用以限;C本發明所主 —專利權利範圍。其專利保護範圍當視後附之申請專利 ㈣領域而定。凡熟悉此領域之技藝者,在不脫 f利精神或範圍内,所作之更動或㈣,均屬於本發 不精神下所完成之等效改變或設計,且應包含在下 述之申請專利範圍内。18 201209762 a The above description is a preferred embodiment of the invention. The skilled artisan in this field is used to illustrate the invention and is not to be limited; C is the subject of the invention. The scope of patent protection depends on the field of patent application (4) attached. Anyone who is familiar with the field in this field, or the changes or designs made by them in the spirit or scope of the application, are equivalent to the equivalent changes or designs made under the spirit of this issue and should be included in the scope of the patent application below. .

【圖式簡單說明】 第一圖為本發明最佳實施例之流程圖; 圖;第二圖為㈣1〇9中建立自動追縱關聯資料之流程 第三圖為步驟112中自動追蹤之流程圖; 被:::!步驟114中移動旋轉變焦式攝影機之晝面至 被選取物件或位置之流程圖; 第五圖為一種用於本發明之寻彡 系統。 月之〜像監控方法之影像監控 【主要元件符號說明】 101-116 步驟 201-215 步驟 301-306 步驟 401-404 步驟 5 01設備通訊介面 502影像擷取設備 503固定式攝影機 [S1 19 201209762 504旋轉變焦式攝影機 505網路攝影機 506網路旋轉變焦式攝影機 601管理系統通訊介面 602中央管理模組 603設備管理模組 604關聯模組 605影像處理模組 606警報通知模組 607系統資料庫 608影像分析器BRIEF DESCRIPTION OF THE DRAWINGS The first drawing is a flow chart of a preferred embodiment of the present invention; the second drawing is a flow chart for establishing automatic tracking related data in (4) 1〇9, and the third drawing is a flow chart of automatic tracking in step 112. ; by:::! In step 114, a flow chart of moving the face of the rotary zoom camera to the selected object or position is shown; the fifth figure is a seek system for use in the present invention. Month ~ Image monitoring like monitoring method [Main component symbol description] 101-116 Steps 201-215 Steps 301-306 Steps 401-404 Step 5 01 Device communication interface 502 Image capture device 503 Fixed camera [S1 19 201209762 504 Rotary Zoom Camera 505 Network Camera 506 Network Rotation Zoom Camera 601 Management System Communication Interface 602 Central Management Module 603 Device Management Module 604 Associate Module 605 Image Processing Module 606 Alarm Notification Module 607 System Database 608 Image Analyzer

2020

Claims (1)

Translated fromChinese
201209762 七、申請專利範圍: 1. 一種影像自動追蹤之監控方法,其步驟包含: 以固义式攝影機及一旋轉變焦式攝影機建立一關聯 定位資料; 設定—分析警報規則於一影像分析器; 藉由。亥影像分析器偵測是否存在符合該分析警報規則 之一物件於該固定式攝影機之畫面中; 右疋,則利用該關聯模組根據該關聯定位資料控制該旋 轉’憂焦式攝影機對準該物件; 藉由該關聯模組及該影像分析器控制該旋轉變焦式攝 影機自動追蹤該物件; 其中°亥關聯定位資料包含至少二定位點資料,藉以定 義方疋轉邊焦式攝影機的轉動(pan)、傾斜(tile)、縮放 (z_)值,而該影像分析器根據該分析警報規則持續侦 測該物件,以利於該旋轉變焦式攝影機自動追蹤。、 2.如請求項i所述之影像自動追蹤之監控方法,其立 該定位點資料之步驟包含: 利用該固定式攝影機設定一定位點; &制4 ^:轉^焦式攝影機轉動並傾斜,使該旋轉變隹 攝影機所拍攝之影像包含該定位點; ^ 縮放該旋轉變焦式攝影機之影像以符合該物件大小. 將該旋轉變焦式攝影機之轉動、傾斜及縮放值’ 定位點資料。 ^ 51201209762 VII. Patent application scope: 1. A method for monitoring automatic image tracking, the steps comprising: establishing an associated positioning data by a solid-state camera and a rotary zoom camera; setting-analysing an alarm rule to an image analyzer; by. The image analyzer detects whether there is an object conforming to the analysis alarm rule in the screen of the fixed camera; and rightly, the association module controls the rotation according to the associated positioning data to control the rotation of the camera. The object is controlled by the associated module and the image analyzer to automatically track the object; wherein the associated positioning data includes at least two positioning point data, thereby defining the rotation of the side-turning focal-focus camera (pan) The tile, zoom (z_) value, and the image analyzer continuously detects the object according to the analysis alert rule to facilitate automatic tracking of the rotary zoom camera. 2. The method for monitoring automatic image tracking according to claim i, wherein the step of establishing the positioning point data comprises: setting an positioning point by using the fixed camera; & 4^: turning the focus camera to rotate Tilting so that the image captured by the rotation-changing camera includes the positioning point; ^ Zooming the image of the rotating zoom camera to match the object size. The rotation, tilting, and scaling value of the rotating zoom camera's positioning point data. ^ 5121 201209762 3 ·如明求項1所述之影像自動追縱之監控方法’其中設疋 0亥刀析警報規則之步驟包含: 選擇—偵測規則型態; 選擇一偵測影像物件型態; 於該固定式攝影機之畫面中描繪該偵測規則; 儲存為該分析警報規則。 4·如印求項1所述之影像自動追蹤之監控方法,其中’自 動追縱該物件之步驟包含: 藉由該影像分析器擷取該物件; 利用該關聯模組計算該旋轉變焦式攝影機之晝面轉移 至該物件所需距離; 利用邊關聯模組控制該旋轉變焦攝影機之晝面轉移至 該物件; 用"亥’IV像77析器偵測該物件是否存在該固定式攝影 機之拍攝影像中; 物件。 ’則由該關聯模組控制該旋轉變焦式攝影機追縱該 ,其步驟包含:21 201209762 3 · The monitoring method of the image automatic tracking according to the item 1 is as follows: The step of setting the alarm rule of the 亥0 hai knife analysis includes: selecting - detecting the rule type; selecting a detection image object type; The detection rule is depicted in the screen of the stationary camera; stored as the analysis alarm rule. 4. The method for monitoring automatic image tracking according to claim 1, wherein the step of automatically tracking the object comprises: capturing the object by the image analyzer; calculating the rotary zoom camera by using the correlation module The surface of the rotating zoom camera is transferred to the object by using the edge correlation module; and the object is detected by the "Hai' IV image detector Shooting images; objects. The rotating zoom camera is controlled by the associated module, and the steps thereof include:一自動追縱關聯資料; 一種影像自動追蹤之監控方法 以—設備管理模組建立一攝影 以該設備管理模組建立一旋轉 以該設備管理模組建立一 22 201209762 藉由一中央管理模組偵測一影像分 生; 析益疋否有警報發 則由β關聯;^組根據該自動追 旋轉變焦式攝影機以執行自動追縱。聯貝料控制- 6·如請以5所述之影像自動追縱之監控方法 八, 矛用。亥中央官理模組偵測該攝影 3 件或位置被選取; 否存在物 關龍組㈣輯變^攝影機所拍攝 之〜像轉移至该被選取之物件或位置。 7.如請求項5所述之影像自動追縱之監控方法,其中 立自動追縱關聯資料之步驟包含: 選擇一固定式攝影機; 選擇該旋轉變焦式攝影機; 利用5亥關聯模組確定該自動追縱關聯資料中是人 兩定位點資料; G 3 Η 用㈣定式攝影機及該旋轉變 行關聯定位步驟; ν僻〜機進 若是貝J將η亥兩疋位點資料儲存為一關聯定位資 選擇一影像分析器; 、’ 利用該中央管理模組確定是否已設定一分 於該影像分析器中; 若是,則將該關敎位資料及該分析警報規則儲存為一 23 201209762 自動追蹤關聯資料; 若否’則設定一分析警報規則。 8. 如請求項7所述之影像自動追蹤之監控方法,复 ^ 關聯定位步驟包含: “ ’该 利用§亥固定式攝影機設定_^定位點; 控制該旋轉變焦式攝影機至該定位點定位; 鲁 縮放該旋轉變焦式攝影機之影像以符合物件大小。 9. 如請求項7所述之影像自動追蹤之監控方法,其中,< 定該分析警報規則之步驟包含: 選擇一偵測規則型態; 選擇一偵測影像物件型態; 於該固定式攝影機之晝面中描繪規則; 儲存為該分析警報規則。 10. 如請求項5所述之影像自動追蹤之監控方法,其中,自 動追蹤之步驟包含: 由該影像偵測器擷取觸發該警報之物件; 利用該關聯模組計算該旋轉變焦式攝影機之拍攝影像 轉移至該物件所需距離; 利用該關聯模組控制該旋轉變焦攝影機之拍攝影像 移至該物件; 利用6亥關聯模組控制該旋轉變焦式攝影機之拍攝影像 Γ ^ 1 24 201209762 並根據該自動追蹤關聯資料追蹤該物件。 1 1.如請求項6所述之影像自動追縱之監控方法,其中,轉 移一旋轉變焦式攝影機之晝面至該被選擇之物件或位 置’其步驟包含: 利用該關聯模組擷取該被選擇之物件或位置; 利用該關聯模組計算該旋轉變焦式攝影機之拍攝影像 _ 移動至該被選擇之物件或位置之所需距離; 利用該關聯模組控制該旋轉變焦攝影機之拍攝影像移 動至該被選擇之物件或位置。An automatic tracking related data; an automatic monitoring method for image tracking: a device management module establishes a photography to establish a rotation of the device management module to establish a rotation of the device management module 22 201209762 by means of a central management module The image is divided into two parts; the analysis of whether there is an alarm is caused by β correlation; the group is based on the automatic chasing rotary zoom camera to perform automatic tracking. Linked material control - 6 · Please use the monitoring method described in 5 for automatic tracking. Eight, spear. The central government module detects that the photograph is 3 pieces or the position is selected; no existence. The Guanlong group (4) changes the image taken by the camera to the selected object or position. 7. The method for monitoring automatic image tracking according to claim 5, wherein the step of automatically tracking the associated data comprises: selecting a fixed camera; selecting the rotary zoom camera; determining the automatic by using a 5H correlation module In the tracking related data, there are two positioning points of the person; G 3 Η using (4) fixed-type camera and the positioning step of the rotation change line; ν 〜 机 机 是 是 是 贝 贝 将 将 将 η η η η η η η η η η η η η η η η η η Selecting an image analyzer;, 'using the central management module to determine whether a score has been set in the image analyzer; if so, storing the level information and the analysis alarm rule as a 23 201209762 automatic tracking related data If no, then set an analysis alert rule. 8. The method for monitoring automatic image tracking according to claim 7, the step of re-association positioning includes: ““Using the fixed camera setting _^ positioning point; controlling the rotating zoom camera to locate the positioning point; Lu zooms the image of the rotary zoom camera to match the size of the object. 9. The method for monitoring automatic image tracking according to claim 7, wherein the step of analyzing the alarm rule comprises: selecting a detection rule type Selecting a detected image object type; drawing a rule in the face of the fixed camera; storing as the analysis alert rule. 10. The method for automatically tracking the image as described in claim 5, wherein the automatic tracking is performed The step includes: capturing, by the image detector, an object that triggers the alarm; using the association module, calculating a distance required for the captured image of the rotary zoom camera to be transferred to the object; and controlling the rotary zoom camera by using the associated module The captured image is moved to the object; the captured image of the rotary zoom camera is controlled by the 6-Hai associated module Γ ^ 1 2 4 201209762 and tracking the object according to the automatic tracking related data. 1 1. The method for monitoring automatic image tracking according to claim 6, wherein transferring the face of a rotating zoom camera to the selected object or position The step of: using the associated module to retrieve the selected object or position; using the associated module to calculate the captured image of the rotary zoom camera _ the required distance to move to the selected object or position; The association module controls the captured image of the rotary zoom camera to move to the selected object or position.2525
TW99127724A2010-08-192010-08-19Method of tracking images automaticallyTWI407386B (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
TW99127724ATWI407386B (en)2010-08-192010-08-19Method of tracking images automatically

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
TW99127724ATWI407386B (en)2010-08-192010-08-19Method of tracking images automatically

Publications (2)

Publication NumberPublication Date
TW201209762Atrue TW201209762A (en)2012-03-01
TWI407386B TWI407386B (en)2013-09-01

Family

ID=46763754

Family Applications (1)

Application NumberTitlePriority DateFiling Date
TW99127724ATWI407386B (en)2010-08-192010-08-19Method of tracking images automatically

Country Status (1)

CountryLink
TW (1)TWI407386B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US8903219B2 (en)2010-05-132014-12-02International Business Machines CorporationAuditing video analytics through essence generation
US9053621B2 (en)2013-07-032015-06-09Faraday Technology Corp.Image surveillance system and image surveillance method
CN106982323A (en)*2017-02-162017-07-25小绿草股份有限公司Self-timer system and method
TWI594209B (en)*2015-06-092017-08-01國立中山大學Method for automatically deducing motion parameter for control of mobile stage based on video images
TWI612497B (en)*2017-04-072018-01-21王明科Active image tracking method, image-tracking-assistant apparatus and embedded system thereof
TWI628954B (en)*2017-02-162018-07-01小綠草股份有限公司Self-photographing system and method
TWI691908B (en)*2017-02-162020-04-21小綠草股份有限公司Self-photographing system and method
CN113556506A (en)*2020-04-242021-10-26英研智能移动股份有限公司Object tracking method based on image
TWI757728B (en)*2020-04-242022-03-11英研智能移動股份有限公司Method of tracking object based on image

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US9892606B2 (en)*2001-11-152018-02-13Avigilon Fortress CorporationVideo surveillance system employing video primitives
US8564661B2 (en)*2000-10-242013-10-22Objectvideo, Inc.Video analytic rule detection system and method
TW200746800A (en)*2006-06-092007-12-16Hon Hai Prec Ind Co LtdDynamic monitor system and method
TWI340590B (en)*2007-09-262011-04-11Huper Lab Co LtdObject corresponding method capable of real-time and accurate operating for multi-camera construction

Cited By (14)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US8903219B2 (en)2010-05-132014-12-02International Business Machines CorporationAuditing video analytics through essence generation
TWI502553B (en)*2010-05-132015-10-01IbmMethod, computer system and computer program products for auditing video analytics through essence generation
US9355308B2 (en)2010-05-132016-05-31GlobalFoundries, Inc.Auditing video analytics through essence generation
US9053621B2 (en)2013-07-032015-06-09Faraday Technology Corp.Image surveillance system and image surveillance method
TWI507661B (en)*2013-07-032015-11-11Faraday Tech CorpImage surveillance system and method thereof
TWI594209B (en)*2015-06-092017-08-01國立中山大學Method for automatically deducing motion parameter for control of mobile stage based on video images
CN106982323A (en)*2017-02-162017-07-25小绿草股份有限公司Self-timer system and method
TWI628954B (en)*2017-02-162018-07-01小綠草股份有限公司Self-photographing system and method
CN110460775A (en)*2017-02-162019-11-15小绿草股份有限公司 Selfie system and method
CN106982323B (en)*2017-02-162019-12-27小绿草股份有限公司Self-timer system and method
TWI691908B (en)*2017-02-162020-04-21小綠草股份有限公司Self-photographing system and method
TWI612497B (en)*2017-04-072018-01-21王明科Active image tracking method, image-tracking-assistant apparatus and embedded system thereof
CN113556506A (en)*2020-04-242021-10-26英研智能移动股份有限公司Object tracking method based on image
TWI757728B (en)*2020-04-242022-03-11英研智能移動股份有限公司Method of tracking object based on image

Also Published As

Publication numberPublication date
TWI407386B (en)2013-09-01

Similar Documents

PublicationPublication DateTitle
TW201209762A (en)Method of tracking images automatically
US9813607B2 (en)Method and apparatus for image capture targeting
CN106605236B (en) Method and image capture device for capturing images
JP6077655B2 (en) Shooting system
US8817134B2 (en)Imaging control device, subject detection method, and program
WO2018019135A1 (en)Target monitoring method, camera, controller and target monitoring system
CN101511004A (en)Method and apparatus for monitoring camera shot
JP2010009134A (en)Image processing system, image processing method, and program
CN103686131A (en) Monitoring device and system using 3D information of images, and monitoring method
WO2016189782A1 (en)Tracking support apparatus, tracking support system, and tracking support method
JPWO2017119034A1 (en) Imaging system, imaging method and program
CN101489116A (en)Video surveillance system and method using ip-based networks
KR101933153B1 (en)Control Image Relocation Method and Apparatus according to the direction of movement of the Object of Interest
TW201118802A (en)Multi-state target tracking mehtod and system
TW201626292A (en)Fish counting device, fish counting method, fish count prediction device, fish count prediction method, fish counting system, and fish count prediction system
JP7198043B2 (en) Image processing device, image processing method
KR102249498B1 (en)The Apparatus And System For Searching
CN117979044A (en)Live broadcast picture output method and device, computer equipment and readable storage medium
JP2007208745A (en)Monitoring device and monitoring method
CN107093435A (en) a multimedia device
CN102238320A (en) Camera device and camera method thereof
JP2019186727A (en)Imaging device, method for controlling the same, program, and imaging system
CN114342350B (en) Imaging control device, imaging control method, program, and imaging equipment
TWI502552B (en)Method of monitoring images
KR20140036824A (en)Monitoring apparatus and system using 3d images, and method thereof

Legal Events

DateCodeTitleDescription
MM4AAnnulment or lapse of patent due to non-payment of fees

[8]ページ先頭

©2009-2025 Movatter.jp