Security monitoring camera equipment monitoring system and monitoring methodTechnical Field
The application relates to the technical field of monitoring of camera equipment, in particular to a monitoring system and a monitoring method of security monitoring camera equipment.
Background
With the development of technology, security monitoring is widely applied to various industries. In monitoring of the same type of security monitoring camera equipment, the key and core of security monitoring are to make anomaly detection of the monitoring equipment and track a monitoring target.
At present, security monitoring mainly analyzes moving object data in a monitoring area of monitoring equipment, and obviously, the following problems exist in the analysis mode:
The current lack is according to the definition and shielding area that each image that make a video recording corresponds, analyzes each image pickup apparatus's monitoring picture, can't avoid the loss that causes such as the unclear or shielding of making a video recording because of the image pickup apparatus, reduces the security protection effect to a certain extent, and does not carry out unusual suggestion, probably leads to security personnel unable in time to discover the unusual image pickup apparatus of taking place in each image pickup apparatus.
2. The current lack of analyzing the relevant data of the moving object entering the monitoring picture can not put the picture of the main camera equipment into the maximum screen of the display terminal in real time, the time for amplifying the monitoring picture under emergency can not be reduced, the security effect of the monitoring camera equipment is reduced to a certain extent, the monitoring area of the monitoring target is not further locked, the security personnel can not accurately find the position of the monitoring target when arriving at the scene at night, the working efficiency of the security personnel is reduced, and the security effect can not be guaranteed.
Disclosure of Invention
Aiming at the technical defects, the application aims to provide a monitoring system and a monitoring method of security monitoring camera equipment.
In order to solve the technical problems, the application provides a monitoring system of security monitoring camera equipment in a first aspect, which comprises a camera data acquisition and analysis module, a visual analysis module and a camera control module, wherein the camera data acquisition and analysis module is used for acquiring all photographic images of all camera equipment, transmitting the photographic images to the visual analysis module, further outputting definition and shielding area corresponding to the photographic images of all camera equipment, further analyzing to obtain an evaluation coefficient of a camera picture of all camera equipment, and judging whether the camera equipment is abnormal or not.
And the moving object data acquisition and analysis module is used for acquiring the human shape similarity and the temperature of the moving object when the moving object enters the monitoring area of certain camera equipment, and further analyzing and obtaining the target similarity evaluation coefficient of the moving object so as to judge whether the moving object is a monitoring target.
And the monitoring target analysis module is used for acquiring real-time position coordinates of the monitoring target when the mobile object is the monitoring target, acquiring center point coordinates of a monitoring area of each camera device, and further analyzing and obtaining distance evaluation coefficients of each camera device so as to judge and obtain the main camera device of the monitoring target.
And the main control terminal is used for carrying out abnormal prompt when a certain image pickup device is abnormal, throwing a monitoring picture of the main image pickup device of the monitoring target into a maximum screen of the display terminal and controlling the main image pickup device to start an illuminator.
Preferably, the analysis results in a clear evaluation coefficient for each of the image capturing apparatuses, the specific analysis process including recording the corresponding sharpness and occlusion area of each of the captured images of each of the image capturing apparatuses asAndWhereinIndicated as the number corresponding to each image capturing apparatus,,Represented as the total number of image capturing apparatuses,Is a natural integer greater than or equal to 1; Indicated as the number corresponding to each captured image,,Represented as the total number of captured images,Is a natural integer greater than or equal to 1.
According to the calculation formulaDeriving the firstClear evaluation coefficient of individual image pickup apparatusWherein e is represented as a natural integer,A reference value expressed as the sharpness of the captured image in the database,A reference value expressed as the occlusion area of the camera image in the database,AndExpressed as a weight factor corresponding to the sharpness of the captured image and a weight factor corresponding to the occlusion area in the database.
Comparing the clear evaluation coefficient of each image pickup device with a clear evaluation coefficient threshold value in a database, and judging that the image pickup device is abnormal when the clear evaluation coefficient of a certain image pickup device is larger than or equal to the clear evaluation coefficient threshold value in the database, otherwise judging that the image pickup device is not abnormal, thereby judging whether each image pickup device is abnormal.
Preferably, the analysis results in a target similarity evaluation coefficient of the moving object, and the specific analysis process is that the human shape similarity and the temperature of the moving object are respectively recorded asAndSubstituted into the calculation formulaDeriving target similarity assessment coefficients for moving objectsWhereinExpressed as a natural integer number,A reference value expressed as a human shape similarity of the mobile object in the database,Represented as an impact value on the temperature of the moving object in the database,A reference value expressed as the temperature of the moving object in the database,Indicated as allowed float value of the temperature of the moving object in the database,AndRepresented as a weight factor corresponding to the similarity of the humanoid forms of the mobile objects in the database and a weight factor corresponding to the temperature.
Preferably, the specific judging process includes comparing the target similarity evaluation coefficient of the moving object with the target similarity evaluation coefficient threshold in the database, and judging that the moving object is not the monitoring target 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, otherwise, judging that the moving object is the monitoring target.
Preferably, the analysis obtains the distance evaluation coefficient of each camera equipment, and the specific analysis process is as follows, marking the real-time position of the monitored target asAnd marks the center point of the monitoring area of each image pickup apparatus asSubstituted into the calculation formulaDeriving the firstDistance evaluation coefficient of each image pickup apparatusWhereinA reference value expressed as an image pickup apparatus distance in a database.
Preferably, the judging is performed to obtain the main image pickup device of the monitoring target, and the specific judging process is that the distance evaluation coefficients of the image pickup devices are arranged from small to large, and the image pickup device corresponding to the smallest distance evaluation coefficient of the image pickup device is taken as the main image pickup device of the monitoring target.
The system further comprises a database, wherein the database is used for storing a reference value of definition of the image, a reference value of shielding area, a weight factor corresponding to definition and a weight factor corresponding to shielding area, storing a definition evaluation coefficient threshold, storing a reference value of human shape similarity of a moving object, an influence value of temperature, a reference value of temperature, an allowable floating value of temperature, a weight factor corresponding to human shape similarity and a weight factor corresponding to temperature, storing a target similarity evaluation coefficient threshold and storing a reference value of distance of the image capturing equipment.
The application provides a monitoring method of security monitoring camera equipment in a second aspect, which comprises the following steps of firstly, acquiring and analyzing camera data, namely acquiring each camera image of each camera equipment, transmitting each camera image to a visual analysis module, further outputting the definition and shielding area corresponding to each camera image of each camera equipment, further analyzing to obtain the camera image evaluation coefficient of each camera equipment, and judging whether each camera equipment is abnormal or not.
And step two, acquiring and analyzing moving object data, namely acquiring the human shape similarity and the temperature of the moving object when the moving object enters a monitoring area of a certain camera device, and further analyzing and obtaining a target similarity evaluation coefficient of the moving object so as to judge whether the moving object is a monitoring target.
And thirdly, analyzing the monitoring target, namely acquiring real-time position coordinates of the monitoring target when the mobile object is the monitoring target, acquiring center point coordinates of a monitoring area of each camera device, and further analyzing and obtaining distance evaluation coefficients of each camera device, so as to judge the main camera device of the monitoring target.
And the main control terminal is used for carrying out abnormality prompt when an abnormality occurs in a certain image pickup device, throwing a monitoring picture of the main image pickup device of the monitoring target into a maximum screen of the display terminal and controlling the main image pickup device to start an illuminator.
The security monitoring camera equipment monitoring system and the security monitoring camera equipment monitoring method have the beneficial effects that 1, the camera images of the camera equipment are analyzed to judge whether the camera equipment is abnormal or not, so that the problem of limitation in the current security monitoring equipment monitoring development feasibility analysis process is solved, meanwhile, a moving object in the camera equipment is analyzed, so that a monitoring target is obtained, the real-time position of the detecting target is analyzed, the main control terminal carries out early warning prompt on the camera equipment with the abnormal camera equipment, and meanwhile, the illuminator of the camera equipment corresponding to the monitoring area to which the monitoring target belongs is started, so that security personnel can be ensured to quickly lock the monitoring target position.
2. The application analyzes the monitoring picture of the image pickup device, avoids the loss caused by unclear image pickup of the image pickup device or image pickup shielding and the like, and can also be artificially caused by shielding of the monitoring device, for example, an intruder attempting to intrude can remotely spray unknown liquid to the image pickup device, so that the image pickup device can not normally operate, an intruder can enter the camera while the camera is still on the machine, and the timing monitoring of whether the picture of the image pickup device is abnormal can improve the security effect to a certain extent, and carry out abnormal prompt, so that the security personnel can timely find the abnormality of the image pickup device.
3. According to the application, the related data of the moving object entering the monitoring picture is analyzed, so that false early warning is avoided, time is saved for security personnel to a certain extent, the volume and the temperature of the moving object can be detected through the infrared thermal imager, and because the volume and the temperature of a human body are different from those of other animals, the two data are combined for analysis, and whether the moving object is a monitoring target can be accurately determined.
4. According to the application, the picture of the main camera equipment is put into the maximum screen of the display terminal in real time, so that security personnel can observe and track a monitoring target conveniently, the time for manually selecting and amplifying the monitoring picture in an emergency situation is reduced, the security effect of the monitoring camera equipment is improved to a certain extent, and meanwhile, the illuminator of the main camera equipment is started to further lock the position of the monitoring target, so that the security personnel can accurately find the position of the monitoring target when arriving at the scene at night, the working efficiency of the security personnel is increased, and the security effect is ensured.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present application.
FIG. 2 is a flow chart of the steps of the method of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to FIG. 1, the application provides a security monitoring camera equipment monitoring system in a first aspect, which comprises a camera data acquisition and analysis module, a visual analysis module, a mobile object data acquisition and analysis module, a monitoring target analysis module, a main control terminal and a database.
The image pickup data acquisition and analysis module is used for acquiring each photographic image of each image pickup device, transmitting each photographic image to the visual analysis module, further outputting the definition and the shielding area corresponding to each photographic image of each image pickup device, further analyzing and obtaining the image pickup picture evaluation coefficient of each image pickup device, and judging whether each image pickup device is abnormal or not.
In one embodiment, the analysis results in a clear assessment coefficient for each image capture device, the specific analysis process comprising recording the corresponding sharpness and occlusion area of each captured image of each image capture device asAndWhereinIndicated as the number corresponding to each image capturing apparatus,,Represented as the total number of image capturing apparatuses,Is a natural integer greater than or equal to 1; Indicated as the number corresponding to each captured image,,Represented as the total number of captured images,Is a natural integer greater than or equal to 1.
According to the calculation formulaDeriving the firstClear evaluation coefficient of individual image pickup apparatusWherein e is represented as a natural integer,A reference value expressed as the sharpness of the captured image in the database,A reference value expressed as the occlusion area of the camera image in the database,AndExpressed as a weight factor corresponding to the sharpness of the captured image and a weight factor corresponding to the occlusion area in the database.
The method comprises the steps of obtaining a weight factor corresponding to the definition of a camera image and a weight factor corresponding to the shielding area through a factor analysis method, firstly concentrating the information of the definition and the dirt area, then obtaining a variance interpretation rate after rotation, and dividing the accumulated variance interpretation rate to obtain the weight.
The factor analysis method is a known technique, and is a multivariate statistical analysis method for classifying a plurality of variables with a complex relationship into a few comprehensive factors based on the dependency relationship of the internal correlation of the study variables, wherein the information concentration is represented as a calculation median, the variance interpretation rate is the information quantity extracted by the factors, the variance interpretation rate=the number of characteristic roots/total analysis items, and the variance interpretation rate after rotation is represented as the variance interpretation rate of the factors after maximum variance rotation.
It should be noted that, the visual analysis module adopts a visual analysis algorithm.
In a specific example, the specific judging process includes comparing the clear evaluation coefficient of each image pickup apparatus with the clear evaluation coefficient threshold value in the database, judging that the image pickup apparatus is abnormal when the clear evaluation coefficient of a certain image pickup apparatus is greater than or equal to the clear evaluation coefficient threshold value in the database, otherwise judging that the image pickup apparatus is not abnormal, and judging that whether each image pickup apparatus is abnormal.
The application analyzes the monitoring picture of the image pickup device, avoids the loss caused by unclear image pickup of the image pickup device or image pickup shielding and the like, and can also be artificially caused by shielding of the monitoring device, for example, an intruder attempting to intrude can remotely spray unknown liquid to the image pickup device, so that the image pickup device can not normally operate, an intruder can enter the camera while the camera is still on the machine, and the timing monitoring of whether the picture of the image pickup device is abnormal can improve the security effect to a certain extent, and carry out abnormal prompt, so that the security personnel can timely find the abnormality of the image pickup device.
And the moving object data acquisition and analysis module is used for acquiring the human shape similarity and the temperature of the moving object when the moving object enters the monitoring area of certain camera equipment, and further analyzing and obtaining the target similarity evaluation coefficient of the moving object so as to judge whether the moving object is a monitoring target.
In one embodiment, the analysis results in a target similarity assessment coefficient for the moving object, the specific analysis process comprising recording the human shape similarity and the temperature of the moving object as respectivelyAndSubstituted into the calculation formulaDeriving target similarity assessment coefficients for moving objectsWhereinExpressed as a natural integer number,A reference value expressed as a human shape similarity of the mobile object in the database,Represented as an impact value on the temperature of the moving object in the database,A reference value expressed as the temperature of the moving object in the database,Indicated as allowed float value of the temperature of the moving object in the database,AndRepresented as a weight factor corresponding to the similarity of the humanoid forms of the mobile objects in the database and a weight factor corresponding to the temperature.
The method comprises the steps of obtaining weight factors corresponding to the human shape similarity and weight factors corresponding to the temperature of the moving object through a factor analysis method, firstly concentrating information of the human shape similarity and the temperature, obtaining variance interpretation rate after rotation, and dividing the accumulated variance interpretation rate to obtain the weight.
In one embodiment, the determining whether the moving object is a monitoring target includes comparing the target similarity evaluation coefficient of the moving object with a target similarity evaluation coefficient threshold in a database, and determining that the moving object is not the monitoring target 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, otherwise determining that the moving object is the monitoring target.
The volume and temperature of the moving object were obtained using a thermal infrared imager.
According to the application, the related data of the moving object entering the monitoring picture is analyzed, so that false early warning is avoided, time is saved for security personnel to a certain extent, the volume and the temperature of the moving object can be detected through the infrared thermal imager, and because the volume and the temperature of a human body are different from those of other animals, the two data are combined for analysis, and whether the moving object is a monitoring target can be accurately determined.
And the monitoring target analysis module is used for acquiring real-time position coordinates of the monitoring target when the mobile object is the monitoring target, acquiring center point coordinates of a monitoring area of each camera device, and further analyzing and obtaining distance evaluation coefficients of each camera device so as to judge and obtain the main camera device of the monitoring target.
In one specific example, the analysis obtains the distance evaluation coefficient of each camera equipment, and the specific analysis process comprises the steps of marking the real-time position of the monitoring target asAnd marks the center point of the monitoring area of each image pickup apparatus asSubstituted into the calculation formulaDeriving the firstDistance evaluation coefficient of each image pickup apparatusWhereinA reference value expressed as an image pickup apparatus distance in a database.
In a specific example, the judging obtains the main image pickup device of the monitoring target, and the specific judging process is that the distance evaluation coefficients of the image pickup devices are arranged from small to large, and the image pickup device corresponding to the smallest distance evaluation coefficient of the image pickup device is taken as the main image pickup device of the monitoring target.
And the main control terminal is used for carrying out abnormal prompt when a certain image pickup device is abnormal, throwing a monitoring picture of the main image pickup device of the monitoring target into a maximum screen of the display terminal and controlling the main image pickup device to start an illuminator.
When the monitoring target appears, the screen of the display terminal is automatically converted into a maximum screen and a plurality of small screens, wherein the maximum screen displays the monitoring picture of the main camera equipment.
According to the application, the picture of the main camera equipment is put into the maximum screen of the display terminal in real time, so that security personnel can observe and track a monitoring target conveniently, the time for manually selecting and amplifying the monitoring picture in an emergency situation is reduced, the security effect of the monitoring camera equipment is improved to a certain extent, and meanwhile, the illuminator of the main camera equipment is started to further lock the position of the monitoring target, so that the security personnel can accurately find the position of the monitoring target when arriving at the scene at night, the working efficiency of the security personnel is increased, and the security effect is ensured.
In a specific example, the camera further comprises a database, wherein the database is used for storing a reference value of definition of a camera image, a reference value of shielding area, a weight factor corresponding to definition and a weight factor corresponding to shielding area, storing a definition evaluation coefficient threshold, storing a reference value of human shape similarity of a moving object, an influence value of temperature, a reference value of temperature, an allowable floating value of temperature, a weight factor corresponding to human shape similarity and a weight factor corresponding to temperature, storing a target similarity evaluation coefficient threshold, and storing a reference value of distance of the camera.
Referring to fig. 2, the present application provides a method for monitoring security monitoring camera devices in a second aspect, comprising the steps of acquiring and analyzing camera data, namely acquiring each camera image of each camera device, transmitting each camera image to a vision analysis module, further outputting the corresponding definition and shielding area of each camera image of each camera device, further analyzing to obtain the evaluation coefficient of the camera image of each camera device, and judging whether the camera devices are abnormal.
And step two, acquiring and analyzing moving object data, namely acquiring the human shape similarity and the temperature of the moving object when the moving object enters a monitoring area of a certain camera device, and further analyzing and obtaining a target similarity evaluation coefficient of the moving object so as to judge whether the moving object is a monitoring target.
And thirdly, analyzing the monitoring target, namely acquiring real-time position coordinates of the monitoring target when the mobile object is the monitoring target, acquiring center point coordinates of a monitoring area of each camera device, and further analyzing and obtaining distance evaluation coefficients of each camera device, so as to judge the main camera device of the monitoring target.
And the main control terminal is used for carrying out abnormality prompt when an abnormality occurs in a certain image pickup device, throwing a monitoring picture of the main image pickup device of the monitoring target into a maximum screen of the display terminal and controlling the main image pickup device to start an illuminator.
According to the monitoring system and the monitoring method for the security monitoring camera equipment, the camera images of the camera equipment are analyzed, so that whether the camera equipment is abnormal or not is judged, the problem of limitation in the current monitoring development feasibility analysis process of the security monitoring equipment is solved, meanwhile, a mobile object in the camera equipment is analyzed, so that a monitoring target is obtained, the real-time position of the detection target is analyzed, the abnormal camera equipment is early-warning prompted at the main control terminal, and meanwhile, the illuminator of the camera equipment corresponding to the monitoring area to which the monitoring target belongs is started, so that the security personnel can be ensured to quickly lock the position of the monitoring target.
The foregoing is merely illustrative and explanatory of the principles of the application, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the application or beyond the scope of the application as defined in the description.