技术领域Technical Field
本申请涉及摄像设备监测技术领域，具体涉及一种安防监控摄像设备监测系统及监测方法。The present application relates to the technical field of camera equipment monitoring, and in particular to a security monitoring camera equipment monitoring system and a monitoring method.
背景技术Background Art
随着科技的发展，安防监控在各行各业中广泛应用。在同类型安防监控摄像设备监测中，做好监控设备的异常检测和监测目标的追踪是安防监控的关键和核心。With the development of science and technology, security monitoring is widely used in all walks of life. In the monitoring of the same type of security monitoring camera equipment, doing a good job of abnormal detection of monitoring equipment and tracking of monitoring targets is the key and core of security monitoring.
目前安防监控主要对监控设备的监控区域内出现的移动物数据进行分析，很显然这种分析方式存在以下几个问题：At present, security monitoring mainly analyzes the data of moving objects appearing in the monitoring area of the monitoring equipment. Obviously, this analysis method has the following problems:
当前缺少根据各摄像图像对应的清晰度和遮挡面积，对各摄像设备的监控画面进行分析，无法避免因摄像设备的摄像不清晰或摄像遮挡等原因造成的损失，在一定程度上降低安防效果，且没有进行异常提示，可能导致安防人员无法及时在各摄像设备中发现发生异常的摄像设备。Currently, there is a lack of analysis of the surveillance images of each camera device based on the clarity and occlusion area corresponding to each camera image. This cannot avoid losses caused by unclear camera images or camera occlusion, which reduces the security effect to a certain extent. In addition, there is no abnormal prompt, which may result in security personnel being unable to promptly detect abnormal camera devices among the various camera devices.
2、当前缺少对进入监控画面中的移动物体的相关数据进行分析，无法实时将主摄像设备的画面投放至显示终端的最大屏中，可能无法减少紧急情况下放大监控画面的时间，在一定程度上降低了监控摄像设备的安防效果，没有进一步锁定监测目标的所在监控区域，使安防人员在夜晚到达现场时，不能准确的找到监测目标的位置，降低了安防人员的工作效率，无法保障安防效果。2. Currently, there is a lack of analysis of relevant data on moving objects entering the monitoring screen, and the screen of the main camera equipment cannot be projected onto the largest screen of the display terminal in real time. It may not be possible to reduce the time for zooming in the monitoring screen in an emergency, which to a certain extent reduces the security effect of the monitoring camera equipment. The monitoring area where the monitoring target is located is not further locked, so that when the security personnel arrive at the scene at night, they cannot accurately find the location of the monitoring target, which reduces the work efficiency of the security personnel and cannot guarantee the security effect.
发明内容Summary of the invention
针对上述存在的技术不足，本申请的目的是提供一种安防监控摄像设备监测系统及监测方法。In view of the above-mentioned technical deficiencies, the purpose of this application is to provide a security monitoring camera equipment monitoring system and monitoring method.
为解决上述技术问题，本申请采用如下技术方案：本申请在第一方面提供一种安防监控摄像设备监测系统，该方法包括以下模块：摄像数据获取和分析模块，用于获取各摄像设备的各摄影图像，并将各摄像图像传输至视觉分析模块中，进而输出各摄像设备的各摄像图像对应的清晰度和遮挡面积，进而分析得出各摄像设备的摄像画面评估系数，并判断各摄像设备是否出现异常。In order to solve the above-mentioned technical problems, the present application adopts the following technical solutions: In the first aspect, the present application provides a security monitoring camera equipment monitoring system, the method comprising the following modules: a camera data acquisition and analysis module, used to acquire each photographic image of each camera device, and transmit each camera image to a visual analysis module, and then output the clarity and occlusion area corresponding to each camera image of each camera device, and then analyze and obtain the camera picture evaluation coefficient of each camera device, and judge whether each camera device has an abnormality.
移动物数据获取和分析模块，用于当某摄像设备的监测区域内进入移动物时，获取移动物的人形相似度和温度，进而分析得出移动物的目标相似评估系数，从而判断移动物是否为监测目标。The mobile object data acquisition and analysis module is used to obtain the human shape similarity and temperature of the mobile object when a mobile object enters the monitoring area of a certain camera device, and then analyze and obtain the target similarity evaluation coefficient of the mobile object, so as to determine whether the mobile object is a monitoring target.
监测目标分析模块，用于当移动物为监测目标时，获取监测目标的实时位置坐标，并获取各摄像设备的监测区域的中心点坐标，进而分析得出各摄像设备距离评估系数，从而判断得出监测目标的主摄像设备。The monitoring target analysis module is used to obtain the real-time position coordinates of the monitoring target when a moving object is the monitoring target, and obtain the center point coordinates of the monitoring area of each camera device, and then analyze and obtain the distance evaluation coefficient of each camera device, so as to determine the main camera device of the monitoring target.
主控终端，用于当某摄像设备出现异常时，进行异常提示；将监测目标的主摄像设备的监控画面投放在显示终端的最大屏中，并控制主摄像设备开启照明器。The main control terminal is used to give an abnormal prompt when a certain camera device has an abnormality; project the monitoring screen of the main camera device of the monitored target on the largest screen of the display terminal, and control the main camera device to turn on the lighting.
优选地，所述分析得出各摄像设备的清晰评估系数，具体分析过程如下：将各摄像设备的各摄像图像对应的清晰度和遮挡面积分别记为和，其中表示为各摄像设备对应的编号，，表示为摄像设备的总数，为大于或等于1的自然整数；表示为各摄像图像对应的编号，，表示为摄像图像的总数，为大于或等于1的自然整数。Preferably, the analysis obtains the clarity evaluation coefficient of each camera device, and the specific analysis process is as follows: the clarity and the occlusion area corresponding to each camera image of each camera device are respectively recorded as and ,in Indicates the number corresponding to each camera device. , Expressed as the total number of camera devices, is a natural integer greater than or equal to 1; It represents the number corresponding to each camera image. , is the total number of camera images, is a natural integer greater than or equal to 1.
根据计算公式得出第个摄像设备的清晰评估系数，其中e表示为自然整数，表示为数据库中的摄像图像的清晰度的参考值，表示为数据库中的摄像图像的遮挡面积的参考值，和表示为数据库中的摄像图像的清晰度对应的权重因子和遮挡面积对应的权重因子。According to the calculation formula Get the first The clarity evaluation factor of the camera device , where e is a natural integer, It is represented as the reference value of the clarity of the camera image in the database. It is represented as the reference value of the occlusion area of the camera image in the database, and It is represented by the weight factor corresponding to the clarity of the camera image in the database and the weight factor corresponding to the occlusion area.
优选地，所述判断各摄像设备是否出现异常，具体判断过程如下：将各摄像设备的清晰评估系数与数据库中的清晰评估系数阈值进行对比，当某摄像设备的清晰评估系数大于或等于数据库中的清晰评估系数阈值时，判断该摄像设备出现异常，反之判断该摄像设备未出现异常，由此判断各摄像设备是否出现异常。Preferably, the specific judgment process of judging whether each camera device has an abnormality is as follows: comparing the clarity assessment coefficient of each camera device with the clarity assessment coefficient threshold in the database; when the clarity assessment coefficient of a certain camera device is greater than or equal to the clarity assessment coefficient threshold in the database, the camera device is judged to have an abnormality; otherwise, the camera device is judged to have no abnormality, thereby judging whether each camera device has an abnormality.
优选地，所述分析得出移动物的目标相似评估系数，具体分析过程如下：将移动物的人形相似度和温度分别记为和，代入计算公式得出移动物的目标相似评估系数，其中表示为自然整数，表示为数据库中的移动物的人形相似度的参考值，表示为数据库中的移动物的温度的影响值，表示为数据库中的移动物的温度的参考值，表示为数据库中的移动物的温度的允许浮动值，和表示为数据库中的移动物的人形相似度对应的权重因子和温度对应的权重因子。Preferably, the target similarity evaluation coefficient of the moving object is obtained by the analysis, and the specific analysis process is as follows: the human shape similarity and temperature of the moving object are respectively recorded as and , substitute into the calculation formula Obtain the target similarity evaluation coefficient of the moving object ,in Expressed as a natural integer, It is represented as the reference value of the humanoid similarity of the moving objects in the database. It is expressed as the influence value of the temperature of the moving object in the database, Represents the reference value of the temperature of the moving object in the database, The allowed floating value of the temperature of the moving object in the database is expressed as: and It is represented by the weight factor corresponding to the humanoid similarity of the moving object in the database and the weight factor corresponding to the temperature.
优选地，所述判断移动物是否为监测目标，具体判断过程如下：将移动物的目标相似评估系数与数据库中的目标相似评估系数阈值进行对比，当移动物的目标相似评估系数大于或等于数据库中的目标相似评估系数阈值时，判断移动物不是监测目标，反之判断移动物为监测目标。Preferably, the specific judgment process for judging whether the moving object is a monitoring target is as follows: comparing the target similarity assessment coefficient of the moving object with the target similarity assessment coefficient threshold in the database; when the target similarity assessment coefficient of the moving object is greater than or equal to the target similarity assessment coefficient threshold in the database, the moving object is judged not to be a monitoring target; otherwise, the moving object is judged to be a monitoring target.
优选地，所述分析得出各摄像设备距离评估系数，具体分析过程如下：将监测目标的实时位置坐标记为，并将各摄像设备的监测区域的中心点坐标记为，代入计算公式得出第个摄像设备距离评估系数，其中表示为数据库中的摄像设备距离的参考值。Preferably, the analysis obtains the distance evaluation coefficient of each camera device, and the specific analysis process is as follows: the real-time position coordinates of the monitored target are marked as , and mark the center coordinates of the monitoring area of each camera device as , substitute into the calculation formula Get the first Camera distance evaluation factor ,in Represents the reference value of the camera device distance in the database.
优选地，所述判断得出监测目标的主摄像设备，具体判断过程如下：将各摄像设备距离评估系数由小至大进行排列，并将最小的摄像设备距离评估系数对应的摄像设备作为监测目标的主摄像设备。Preferably, the main camera device of the monitoring target is determined by the following specific determination process: the distance evaluation coefficients of the camera devices are arranged from small to large, and the camera device corresponding to the smallest camera device distance evaluation coefficient is used as the main camera device of the monitoring target.
还包括数据库，用于存储摄像图像的清晰度的参考值、遮挡面积的参考值、清晰度对应的权重因子和遮挡面积对应的权重因子，存储清晰评估系数阈值，存储移动物的人形相似度的参考值、温度的影响值、温度的参考值、温度的允许浮动值、人形相似度对应的权重因子和温度对应的权重因子，存储目标相似评估系数阈值，存储摄像设备距离的参考值。It also includes a database for storing reference values of the clarity of the camera image, reference values of the occlusion area, weight factors corresponding to the clarity and weight factors corresponding to the occlusion area, storing clarity evaluation coefficient thresholds, storing reference values of the human figure similarity of moving objects, temperature influence values, reference values of temperature, allowable floating values of temperature, weight factors corresponding to the human figure similarity and weight factors corresponding to the temperature, storing target similarity evaluation coefficient thresholds, and storing reference values of the camera device distance.
本申请在第二方面提供了一种安防监控摄像设备监测方法，包括以下步骤：步骤一、摄像数据获取和分析：获取各摄像设备的各摄影图像，并将各摄像图像传输至视觉分析模块中，进而输出各摄像设备的各摄像图像对应的清晰度和遮挡面积，进而分析得出各摄像设备的摄像画面评估系数，并判断各摄像设备是否出现异常。In a second aspect, the present application provides a security surveillance camera equipment monitoring method, comprising the following steps: Step 1, camera data acquisition and analysis: acquire each photographic image of each camera device, and transmit each camera image to a visual analysis module, and then output the clarity and occlusion area corresponding to each camera image of each camera device, and then analyze and obtain the camera picture evaluation coefficient of each camera device, and determine whether each camera device has an abnormality.
步骤二、移动物数据获取和分析：当某摄像设备的监测区域内进入移动物时，获取移动物的人形相似度和温度，进而分析得出移动物的目标相似评估系数，从而判断移动物是否为监测目标。Step 2: Mobile object data acquisition and analysis: When a mobile object enters the monitoring area of a camera device, the human shape similarity and temperature of the mobile object are obtained, and then the target similarity evaluation coefficient of the mobile object is analyzed to determine whether the mobile object is a monitoring target.
步骤三、监测目标分析：当移动物为监测目标时，获取监测目标的实时位置坐标，并获取各摄像设备的监测区域的中心点坐标，进而分析得出各摄像设备距离评估系数，从而判断得出监测目标的主摄像设备。Step 3: Monitoring target analysis: When a moving object is the monitoring target, obtain the real-time position coordinates of the monitoring target and the center point coordinates of the monitoring area of each camera device, and then analyze and obtain the distance evaluation coefficient of each camera device, so as to determine the main camera device of the monitoring target.
主控终端：当某摄像设备出现异常时，进行异常提示；将监测目标的主摄像设备的监控画面投放在显示终端的最大屏中，并控制主摄像设备开启照明器。Main control terminal: When a camera device has an abnormality, an abnormal prompt will be given; the monitoring screen of the main camera device of the monitored target will be projected on the largest screen of the display terminal, and the main camera device will be controlled to turn on the lighting.
本申请的有益效果在于：1、本申请提供的一种安防监控摄像设备监测系统及监测方法，通过对各摄像设备的摄像图像进行分析，进而判断各摄像设备是否出现异常，解决了当前安防监控设备监测发展可行性分析过程中存在的局限性问题，同时对出现在摄像设备中的移动物进行分析，从而获取监测目标，并对检测目标的实时位置进行分析，且在主控终端对出现异常的摄像设备进行预警提示，同时将监测目标所属监测区域对应的摄像设备的照明器开启，保障了安防人员快速锁定监测目标位置。The beneficial effects of the present application are as follows: 1. A security monitoring camera equipment monitoring system and monitoring method provided by the present application analyzes the camera images of each camera device to determine whether each camera device has an abnormality, thereby solving the limitations existing in the feasibility analysis process of the current security monitoring equipment monitoring development. At the same time, the moving objects appearing in the camera device are analyzed to obtain the monitoring target, and the real-time position of the detection target is analyzed. The main control terminal issues an early warning prompt for the abnormal camera device, and at the same time turns on the illuminator of the camera device corresponding to the monitoring area to which the monitoring target belongs, thereby ensuring that the security personnel can quickly lock the monitoring target position.
2、本申请对摄像设备的监控画面进行分析，避免因摄像设备的摄像不清晰或摄像遮挡等原因造成的损失，监控设备的遮挡也可能是人为造成，例如企图入侵的人将不明液体远程喷射至摄像设备，进而使摄像设备无法正常作业，入侵人员趁机进入；定时监测摄像设备的画面是否出现异常，可以在一定程度上提高安防效果，并进行异常提示，使安防人员能够及时发现摄像设备的异常。2. This application analyzes the surveillance images of the camera equipment to avoid losses caused by unclear or blocked images of the camera equipment. The obstruction of the surveillance equipment may also be caused by human factors. For example, a person attempting to invade may remotely spray an unknown liquid onto the camera equipment, thereby making the camera equipment unable to operate normally and allowing the intruder to take the opportunity to enter. Regularly monitoring the images of the camera equipment for abnormalities can improve the security effect to a certain extent and provide abnormal prompts so that security personnel can detect abnormalities of the camera equipment in a timely manner.
3、本申请对进入监控画面中的移动物体的相关数据进行分析，避免进行错误的预警，在一定程度上为安防人员节约了时间，通过红外热成像仪可以检测到移动物的体积和温度，因为人体的体积和温度不同于其他动物，将这两个数据结合进行分析，能够精准的确定移动物是否为监测目标。3. This application analyzes the relevant data of moving objects entering the monitoring screen to avoid false warnings, which saves time for security personnel to a certain extent. The volume and temperature of moving objects can be detected by infrared thermal imagers. Because the volume and temperature of the human body are different from those of other animals, combining these two data for analysis can accurately determine whether the moving object is a monitoring target.
4、本申请实时将主摄像设备的画面投放至显示终端的最大屏中，便于安防人员对监测目标进行观察和追踪，减少了紧急情况下人为选择放大监控画面的时间，在一定程度上提高了监控摄像设备的安防效果，同时开启主摄像设备的照明器，进一步锁定监测目标的位置，使安防人员在夜晚到达现场时，也能准确的找到监测目标的位置，增加了安防人员的工作效率，保障了安防效果。4. This application projects the image of the main camera device to the largest screen of the display terminal in real time, which is convenient for security personnel to observe and track the monitored target, reduces the time for manually choosing to enlarge the monitoring image in an emergency, and improves the security effect of the monitoring camera equipment to a certain extent. At the same time, the illuminator of the main camera device is turned on to further lock the position of the monitored target, so that security personnel can accurately find the position of the monitored target when they arrive at the scene at night, which increases the work efficiency of security personnel and ensures the security effect.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
图1为本申请系统结构连接示意图。FIG1 is a schematic diagram of the system structure connection of the present application.
图2为本申请方法实施步骤流程示意图。FIG. 2 is a schematic flow chart of the implementation steps of the method of the present application.
具体实施方式DETAILED DESCRIPTION
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
请参阅图1所示，本申请在第一方面提供了一种安防监控摄像设备监测系统，包括以下模块：摄像数据获取和分析模块、视觉分析模块、移动物数据获取和分析模块、监测目标分析模块、主控终端、数据库。Please refer to Figure 1. In the first aspect, the present application provides a security monitoring camera equipment monitoring system, including the following modules: camera data acquisition and analysis module, visual analysis module, mobile object data acquisition and analysis module, monitoring target analysis module, main control terminal, and database.
摄像数据获取和分析模块，用于获取各摄像设备的各摄影图像，并将各摄像图像传输至视觉分析模块中，进而输出各摄像设备的各摄像图像对应的清晰度和遮挡面积，进而分析得出各摄像设备的摄像画面评估系数，并判断各摄像设备是否出现异常。The camera data acquisition and analysis module is used to acquire each photographic image of each camera device and transmit each camera image to the visual analysis module, and then output the clarity and occlusion area corresponding to each camera image of each camera device, and then analyze and obtain the camera picture evaluation coefficient of each camera device, and determine whether each camera device has any abnormality.
在一个具体实例中，所述分析得出各摄像设备的清晰评估系数，具体分析过程如下：将各摄像设备的各摄像图像对应的清晰度和遮挡面积分别记为和，其中表示为各摄像设备对应的编号，，表示为摄像设备的总数，为大于或等于1的自然整数；表示为各摄像图像对应的编号，，表示为摄像图像的总数，为大于或等于1的自然整数。In a specific example, the analysis obtains the clarity evaluation coefficient of each camera device. The specific analysis process is as follows: the clarity and the occlusion area corresponding to each camera image of each camera device are respectively recorded as and ,in Indicates the number corresponding to each camera device. , Expressed as the total number of camera devices, is a natural integer greater than or equal to 1; It represents the number corresponding to each camera image. , is the total number of camera images, is a natural integer greater than or equal to 1.
根据计算公式得出第个摄像设备的清晰评估系数，其中e表示为自然整数，表示为数据库中的摄像图像的清晰度的参考值，表示为数据库中的摄像图像的遮挡面积的参考值，和表示为数据库中的摄像图像的清晰度对应的权重因子和遮挡面积对应的权重因子。According to the calculation formula Get the first The clarity evaluation factor of the camera device , where e is a natural integer, It is represented as the reference value of the clarity of the camera image in the database. It is represented as the reference value of the occlusion area of the camera image in the database, and It is represented by the weight factor corresponding to the clarity of the camera image in the database and the weight factor corresponding to the occlusion area.
需要说明的是，通过因子分析法获取摄像图像的清晰度对应的权重因子和遮挡面积对应的权重因子，首先进行清晰度和脏污面积的信息浓缩，再获取旋转后方差解释率，除累加方差解释率得到权重。It should be noted that the weight factors corresponding to the clarity of the camera image and the weight factors corresponding to the occlusion area are obtained by factor analysis. First, the information of clarity and dirty area is condensed, and then the variance explanation rate after rotation is obtained. The weight is obtained by dividing the cumulative variance explanation rate.
需要说明的是，因子分析法是公知技术，是从研究变量内部相关的依赖关系出发，把一些具有错综复杂关系的变量归结为少数几个综合因子的一种多变量统计分析方法；信息浓缩表示为计算中位数；方差解释率是因子提取的信息量，方差解释率=特征根/总分析项个数；旋转后方差解释率表示为经过最大方差旋转后因子的方差解释率。It should be noted that factor analysis is a well-known technology. It is a multivariate statistical analysis method that starts from studying the internal dependencies of variables and reduces some variables with intricate relationships to a few comprehensive factors; information concentration is expressed as calculating the median; the variance explanation rate is the amount of information extracted by the factor, and the variance explanation rate = characteristic root/total number of analysis items; the variance explanation rate after rotation is expressed as the variance explanation rate of the factor after maximum variance rotation.
需要说明的是，视觉分析模块中采用视觉分析算法。It should be noted that the visual analysis algorithm is used in the visual analysis module.
在一个具体实例中，所述判断各摄像设备是否出现异常，具体判断过程如下：将各摄像设备的清晰评估系数与数据库中的清晰评估系数阈值进行对比，当某摄像设备的清晰评估系数大于或等于数据库中的清晰评估系数阈值时，判断该摄像设备出现异常，反之判断该摄像设备未出现异常，由此判断各摄像设备是否出现异常。In a specific example, the determination of whether each camera device has an abnormality is carried out as follows: the clarity assessment coefficient of each camera device is compared with the clarity assessment coefficient threshold in the database; when the clarity assessment coefficient of a camera device is greater than or equal to the clarity assessment coefficient threshold in the database, the camera device is determined to have an abnormality; otherwise, the camera device is determined to have no abnormality, thereby determining whether each camera device has an abnormality.
本申请对摄像设备的监控画面进行分析，避免因摄像设备的摄像不清晰或摄像遮挡等原因造成的损失，监控设备的遮挡也可能是人为造成，例如企图入侵的人将不明液体远程喷射至摄像设备，进而使摄像设备无法正常作业，入侵人员趁机进入；定时监测摄像设备的画面是否出现异常，可以在一定程度上提高安防效果，并进行异常提示，使安防人员能够及时发现摄像设备的异常。The present application analyzes the surveillance images of the camera equipment to avoid losses caused by unclear camera images or camera obstructions. The obstruction of the surveillance equipment may also be man-made. For example, a person attempting to invade may remotely spray an unknown liquid onto the camera equipment, thereby rendering the camera equipment unable to operate normally and allowing the intruder to take the opportunity to enter. Regularly monitoring the images of the camera equipment for abnormalities can improve the security effect to a certain extent and provide abnormal prompts so that security personnel can detect abnormalities of the camera equipment in a timely manner.
移动物数据获取和分析模块，用于当某摄像设备的监测区域内进入移动物时，获取移动物的人形相似度和温度，进而分析得出移动物的目标相似评估系数，从而判断移动物是否为监测目标。The mobile object data acquisition and analysis module is used to obtain the human shape similarity and temperature of the mobile object when a mobile object enters the monitoring area of a certain camera device, and then analyze and obtain the target similarity evaluation coefficient of the mobile object, so as to determine whether the mobile object is a monitoring target.
在一个具体实例中，所述分析得出移动物的目标相似评估系数，具体分析过程如下：将移动物的人形相似度和温度分别记为和，代入计算公式得出移动物的目标相似评估系数，其中表示为自然整数，表示为数据库中的移动物的人形相似度的参考值，表示为数据库中的移动物的温度的影响值，表示为数据库中的移动物的温度的参考值，表示为数据库中的移动物的温度的允许浮动值，和表示为数据库中的移动物的人形相似度对应的权重因子和温度对应的权重因子。In a specific example, the analysis obtains the target similarity evaluation coefficient of the moving object. The specific analysis process is as follows: the human shape similarity and temperature of the moving object are respectively recorded as and , substitute into the calculation formula Obtain the target similarity evaluation coefficient of the moving object ,in Expressed as a natural integer, It is represented as the reference value of the humanoid similarity of the moving objects in the database. It is expressed as the influence value of the temperature of the moving object in the database, Represents the reference value of the temperature of the moving object in the database, The allowed floating value of the temperature of the moving object in the database is expressed as: and It is represented by the weight factor corresponding to the humanoid similarity of the moving object in the database and the weight factor corresponding to the temperature.
需要说明的是，通过因子分析法获取移动物的人形相似度对应的权重因子和温度对应的权重因子，首先进行人形相似度和温度的信息浓缩，再获取旋转后方差解释率，除累加方差解释率得到权重。It should be noted that the weight factors corresponding to the humanoid similarity and the temperature of the moving object are obtained by factor analysis. First, the information of humanoid similarity and temperature is condensed, and then the variance explanation rate after rotation is obtained. The weight is obtained by dividing the cumulative variance explanation rate.
在一个具体实例中，所述判断移动物是否为监测目标，具体判断过程如下：将移动物的目标相似评估系数与数据库中的目标相似评估系数阈值进行对比，当移动物的目标相似评估系数大于或等于数据库中的目标相似评估系数阈值时，判断移动物不是监测目标，反之判断移动物为监测目标。In a specific example, the determination of whether a moving object is a monitoring target is carried out as follows: the target similarity evaluation coefficient of the moving object is compared with the target similarity evaluation coefficient threshold in the database. When the target similarity evaluation coefficient of the moving object is greater than or equal to the target similarity evaluation coefficient threshold in the database, the moving object is judged not to be a monitoring target, otherwise the moving object is judged to be a monitoring target.
需要说明的是，使用红外热成像仪获取移动物的体积和温度。It should be noted that an infrared thermal imager is used to obtain the volume and temperature of the moving object.
本申请对进入监控画面中的移动物体的相关数据进行分析，避免进行错误的预警，在一定程度上为安防人员节约了时间，通过红外热成像仪可以检测到移动物的体积和温度，因为人体的体积和温度不同于其他动物，将这两个数据结合进行分析，能够精准的确定移动物是否为监测目标。This application analyzes the relevant data of moving objects entering the monitoring screen to avoid false warnings, saving time for security personnel to a certain extent. The volume and temperature of the moving object can be detected by the infrared thermal imager. Because the volume and temperature of the human body are different from those of other animals, combining these two data for analysis can accurately determine whether the moving object is a monitoring target.
监测目标分析模块，用于当移动物为监测目标时，获取监测目标的实时位置坐标，并获取各摄像设备的监测区域的中心点坐标，进而分析得出各摄像设备距离评估系数，从而判断得出监测目标的主摄像设备。The monitoring target analysis module is used to obtain the real-time position coordinates of the monitoring target when a moving object is the monitoring target, and obtain the center point coordinates of the monitoring area of each camera device, and then analyze and obtain the distance evaluation coefficient of each camera device, so as to determine the main camera device of the monitoring target.
在一个具体实例中，所述分析得出各摄像设备距离评估系数，具体分析过程如下：将监测目标的实时位置坐标记为，并将各摄像设备的监测区域的中心点坐标记为，代入计算公式得出第个摄像设备距离评估系数，其中表示为数据库中的摄像设备距离的参考值。In a specific example, the analysis obtains the distance evaluation coefficient of each camera device, and the specific analysis process is as follows: the real-time position coordinates of the monitored target are marked as , and mark the center coordinates of the monitoring area of each camera device as , substitute into the calculation formula Get the first Camera distance evaluation factor ,in Represents the reference value of the camera device distance in the database.
在一个具体实例中，所述判断得出监测目标的主摄像设备，具体判断过程如下：将各摄像设备距离评估系数由小至大进行排列，并将最小的摄像设备距离评估系数对应的摄像设备作为监测目标的主摄像设备。In a specific example, the main camera device of the monitoring target is determined by the following specific determination process: the distance evaluation coefficients of the camera devices are arranged from small to large, and the camera device corresponding to the smallest camera device distance evaluation coefficient is used as the main camera device of the monitoring target.
主控终端，用于当某摄像设备出现异常时，进行异常提示；将监测目标的主摄像设备的监控画面投放在显示终端的最大屏中，并控制主摄像设备开启照明器。The main control terminal is used to give an abnormal prompt when a certain camera device has an abnormality; project the monitoring screen of the main camera device of the monitored target on the largest screen of the display terminal, and control the main camera device to turn on the lighting.
需要说明的是，显示终端显示所有摄像设备的监控画面，无监测目标时，各监控画面呈现统一的大小；当监测目标出现时，显示终端的屏幕将自动变换为一个最大屏和若干小屏，其中最大屏将显示主摄像设备的监控画面。It should be noted that the display terminal displays the monitoring images of all camera devices. When there is no monitoring target, the monitoring images are of the same size. When a monitoring target appears, the screen of the display terminal will automatically change to a largest screen and several small screens, among which the largest screen will display the monitoring image of the main camera device.
本申请实时将主摄像设备的画面投放至显示终端的最大屏中，便于安防人员对监测目标进行观察和追踪，减少了紧急情况下人为选择放大监控画面的时间，在一定程度上提高了监控摄像设备的安防效果，同时开启主摄像设备的照明器，进一步锁定监测目标的位置，使安防人员在夜晚到达现场时，也能准确的找到监测目标的位置，增加了安防人员的工作效率，保障了安防效果。This application projects the image of the main camera device to the largest screen of the display terminal in real time, which is convenient for security personnel to observe and track the monitored target, reduces the time of manually choosing to enlarge the monitoring image in an emergency, and improves the security effect of the monitoring camera equipment to a certain extent. At the same time, the illuminator of the main camera device is turned on to further lock the position of the monitored target, so that security personnel can accurately find the position of the monitored target when they arrive at the scene at night, which increases the work efficiency of security personnel and ensures the security effect.
在一个具体实例中，还包括数据库，用于存储摄像图像的清晰度的参考值、遮挡面积的参考值、清晰度对应的权重因子和遮挡面积对应的权重因子，存储清晰评估系数阈值，存储移动物的人形相似度的参考值、温度的影响值、温度的参考值、温度的允许浮动值、人形相似度对应的权重因子和温度对应的权重因子，存储目标相似评估系数阈值，存储摄像设备距离的参考值。In a specific example, a database is also included for storing reference values of clarity of camera images, reference values of occlusion areas, weight factors corresponding to clarity and weight factors corresponding to occlusion areas, clarity evaluation coefficient thresholds, reference values of human-shaped similarity of moving objects, temperature influence values, reference values of temperature, allowable floating values of temperature, weight factors corresponding to human-shaped similarity and weight factors corresponding to temperature, target similarity evaluation coefficient thresholds, and reference values of camera device distances.
请参阅图2所示，本申请在第二方面提供了一种安防监控摄像设备监测方法，包括以下步骤：步骤一、摄像数据获取和分析：获取各摄像设备的各摄影图像，并将各摄像图像传输至视觉分析模块中，进而输出各摄像设备的各摄像图像对应的清晰度和遮挡面积，进而分析得出各摄像设备的摄像画面评估系数，并判断各摄像设备是否出现异常。Please refer to Figure 2. In the second aspect, the present application provides a security surveillance camera equipment monitoring method, including the following steps: Step 1, camera data acquisition and analysis: acquire each photographic image of each camera device, and transmit each camera image to the visual analysis module, and then output the clarity and occlusion area corresponding to each camera image of each camera device, and then analyze and obtain the camera picture evaluation coefficient of each camera device, and determine whether each camera device has an abnormality.
步骤二、移动物数据获取和分析：当某摄像设备的监测区域内进入移动物时，获取移动物的人形相似度和温度，进而分析得出移动物的目标相似评估系数，从而判断移动物是否为监测目标。Step 2: Mobile object data acquisition and analysis: When a mobile object enters the monitoring area of a camera device, the human shape similarity and temperature of the mobile object are obtained, and then the target similarity evaluation coefficient of the mobile object is analyzed to determine whether the mobile object is a monitoring target.
步骤三、监测目标分析：当移动物为监测目标时，获取监测目标的实时位置坐标，并获取各摄像设备的监测区域的中心点坐标，进而分析得出各摄像设备距离评估系数，从而判断得出监测目标的主摄像设备。Step 3: Monitoring target analysis: When a moving object is the monitoring target, obtain the real-time position coordinates of the monitoring target and the center point coordinates of the monitoring area of each camera device, and then analyze and obtain the distance evaluation coefficient of each camera device, so as to determine the main camera device of the monitoring target.
主控终端：当某摄像设备出现异常时，进行异常提示；将监测目标的主摄像设备的监控画面投放在显示终端的最大屏中，并控制主摄像设备开启照明器。Main control terminal: When a camera device has an abnormality, an abnormal prompt will be given; the monitoring screen of the main camera device of the monitored target will be projected on the largest screen of the display terminal, and the main camera device will be controlled to turn on the lighting.
本申请提供的一种安防监控摄像设备监测系统及监测方法，通过对各摄像设备的摄像图像进行分析，进而判断各摄像设备是否出现异常，解决了当前安防监控设备监测发展可行性分析过程中存在的局限性问题，同时对出现在摄像设备中的移动物进行分析，从而获取监测目标，并对检测目标的实时位置进行分析，且在主控终端对出现异常的摄像设备进行预警提示，同时将监测目标所属监测区域对应的摄像设备的照明器开启，保障了安防人员快速锁定监测目标位置。The present application provides a security monitoring camera equipment monitoring system and monitoring method, which analyzes the camera images of each camera device to determine whether each camera device has an abnormality, thereby solving the limitations existing in the current feasibility analysis process of security monitoring equipment monitoring development. At the same time, the moving objects appearing in the camera device are analyzed to obtain the monitoring target, and the real-time position of the detection target is analyzed. The main control terminal also issues an early warning prompt to the camera device with abnormalities, and at the same time turns on the illuminator of the camera device corresponding to the monitoring area to which the monitoring target belongs, thereby ensuring that security personnel can quickly lock the monitoring target position.
以上内容仅仅是对本申请的构思所作的举例和说明，所属本技术领域的技术人员对所描述的具体实施例做各种各样的修改或补充或采用类似的方式替代，只要不偏离发明的构思或者超越本说明书所定义的范围，均应属于本申请的保护范围。The above contents are merely examples and explanations of the concept of the present application. The technical personnel in this technical field may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present application.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410652277.6ACN118646856B (en) | 2024-05-24 | 2024-05-24 | Security monitoring camera equipment monitoring system and monitoring method |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410652277.6ACN118646856B (en) | 2024-05-24 | 2024-05-24 | Security monitoring camera equipment monitoring system and monitoring method |
| Publication Number | Publication Date |
|---|---|
| CN118646856Atrue CN118646856A (en) | 2024-09-13 |
| CN118646856B CN118646856B (en) | 2024-12-27 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410652277.6AActiveCN118646856B (en) | 2024-05-24 | 2024-05-24 | Security monitoring camera equipment monitoring system and monitoring method |
| Country | Link |
|---|---|
| CN (1) | CN118646856B (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201897853U (en)* | 2010-10-25 | 2011-07-13 | 山东神戎电子股份有限公司 | Monitor device with overtemperature alarm function |
| WO2024032125A1 (en)* | 2022-08-08 | 2024-02-15 | 惠州Tcl移动通信有限公司 | Camera monitoring method and apparatus |
| CN117932530A (en)* | 2023-12-26 | 2024-04-26 | 上海麦杰科技股份有限公司北京分公司 | Intelligent security intrusion sensing method and system based on edge |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201897853U (en)* | 2010-10-25 | 2011-07-13 | 山东神戎电子股份有限公司 | Monitor device with overtemperature alarm function |
| WO2024032125A1 (en)* | 2022-08-08 | 2024-02-15 | 惠州Tcl移动通信有限公司 | Camera monitoring method and apparatus |
| CN117932530A (en)* | 2023-12-26 | 2024-04-26 | 上海麦杰科技股份有限公司北京分公司 | Intelligent security intrusion sensing method and system based on edge |
| Publication number | Publication date |
|---|---|
| CN118646856B (en) | 2024-12-27 |
| Publication | Publication Date | Title |
|---|---|---|
| CN103425967B (en) | A kind of based on stream of people's monitoring method of pedestrian detection and tracking | |
| CN112084963B (en) | A monitoring and early warning method, system and storage medium | |
| CN111047818A (en) | Forest fire early warning system based on video image | |
| WO2021082112A1 (en) | Neural network training method, skeleton diagram construction method, and abnormal behavior monitoring method and system | |
| WO2019179024A1 (en) | Method for intelligent monitoring of airport runway, application server and computer storage medium | |
| CN111488799B (en) | Falling object identification method and system based on image identification | |
| CN104581076A (en) | Mountain fire monitoring and recognizing method and device based on 360-degree panoramic infrared fisheye camera | |
| CN108376246A (en) | A kind of identification of plurality of human faces and tracking system and method | |
| CN107679471A (en) | Indoor occupant sky hilllock detection method based on video monitoring platform | |
| CN104077872A (en) | Anti-external force monitoring early warning method of electric transmission line based on image recognition | |
| CN111461078A (en) | Anti-fishing monitoring method based on computer vision technology | |
| CN110703760B (en) | A newly added suspicious object detection method for security inspection robots | |
| CN111428681A (en) | Intelligent epidemic prevention system | |
| CN110012268A (en) | Pipe network AI intelligent control method, system, readable storage medium storing program for executing and equipment | |
| KR101454644B1 (en) | Loitering Detection Using a Pedestrian Tracker | |
| CN115527158A (en) | Method and device for detecting abnormal behaviors of personnel based on video monitoring | |
| CN114170295A (en) | A method and device for high-altitude parabolic detection based on hybrid vision | |
| CN115497247A (en) | A UAV-based Forest Fire Monitoring Method | |
| CN112576310B (en) | Tunnel security detection method and system based on robot | |
| CN115719464A (en) | Water meter durability device water leakage monitoring method based on machine vision | |
| CN113314230A (en) | Intelligent epidemic prevention method, device, equipment and storage medium based on big data | |
| CN114155470A (en) | River channel area intrusion detection method, system and storage medium | |
| CN111191499B (en) | A fall detection method and device based on minimum centerline | |
| CN104392201B (en) | A kind of human body tumble recognition methods based on omnidirectional vision | |
| CN110708519B (en) | An Interactive Monitoring Method for Industrial Field Environment |
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |