CN106060470B - Video monitoring method and system - Google Patents
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- CN106060470B CN106060470B CN201610473445.0A CN201610473445A CN106060470B CN 106060470 B CN106060470 B CN 106060470B CN 201610473445 A CN201610473445 A CN 201610473445A CN 106060470 B CN106060470 B CN 106060470B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Abstract
The invention provides a video monitoring method and a system thereof, wherein the method comprises the following steps: the method comprises the steps that a fixed-focus panoramic camera acquires a background image of a monitored scene, wherein the background image is a panoramic image of the monitored scene; the zooming tracking camera carries out focusing close-up and tracking on a monitored target through automatic zooming and locking so as to obtain a target image of a monitored scene, wherein the target image is a target image of a moving person or object entering the monitored scene; processing the background image to obtain background information; processing the target image to obtain target information; and storing image data consisting of the background information and the target information. The invention can record panoramic pictures, the zooming tracking camera can complete automatic zooming, target feature and locking tracking, and the problems that the video monitoring camera cannot automatically zoom, focus feature and track shooting are solved.
Description
Technical Field
The invention relates to the field of security monitoring, in particular to a video monitoring method and a system thereof.
Background
The field of security monitoring mainly adopts a high-definition intelligent video monitoring technology and a video analysis technology. The intelligent video monitoring technology is a new generation monitoring system integrating information (video and voice) processing digitization and signal transmission networking and integrating multiple technologies such as communication, network and processing. The system adopts a high-definition CCD (Charge-coupled Device) or CMOS (Complementary Metal Oxide Semiconductor) image sensor, has a video behavior analysis function, realizes remote acquisition, transmission, storage and processing of images, sounds and various alarm signals based on an IP network, and provides a convenient, economic and effective remote video monitoring solution.
Video analysis is an intelligent monitoring technology based on target behaviors. The intelligent video analysis firstly adopts a background subtraction technology to separate a background from a target in a scene, identifies a real target, removes background interference, and further analyzes and tracks target behaviors appearing in the scene of a camera; then, comparing the video frame with a reference background image, considering the pixel change at the same position as a changed area, and further processing, identifying and tracking the areas to obtain basic form information and dynamic information including target position, size, shape, speed, retention time and the like; after the tracking and behavior understanding of the target are completed, the mapping relation between the image and the image description is completed, so that the system further performs rule judgment until an alarm is triggered.
However, in particular applications, there are a number of problems. Such as: the background subtraction technology is immature, and false subtraction and omission which are generated when the color of the background is similar to that of the target easily cause the loss and the blurring of the target; under the condition of long-distance shooting, the picture cannot be identified and recognized because the technical requirement of feature identification is difficult to meet; comparing the video frame with a reference background image, wherein the pixel change at the same position is considered as a changed area, and a series of calculation and analysis are required, so that the great system resources are occupied, the shooting delay of a camera is caused, and the shooting and recording of a target can not be carried out flexibly and freely in real time; when the moving object enters a shooting range, the video monitoring camera cannot automatically focus and track and shoot; the method has the advantages that the environmental background and the target in the scene are separated, the video picture of the environmental background can be lost, the comprehensive analysis and evidence obtaining of the environmental background and the target can not be really realized, even if the environmental background is compensated in the later period, the original picture can not be restored, and the problems of artificial modification, evidence distortion and the like can be more likely to be caused; the increase of the environmental complexity and the excessive targets can increase the false alarm rate, so that the preset analysis purpose and application effect and the processing bottleneck problem of a CPU are difficult to achieve; in the manual control zooming process, the main targets of transient image blurring, local amplification blurring, transient background image loss, missing of the optimal shooting time and missed shooting emergency caused by transient image blurring and local amplification blurring cannot be really unattended; the problems of unsmooth video resource communication, long calling period, untimely data updating, system resource waste and video data loss caused by the damage of video monitoring equipment at a monitoring point caused by the disorder of network management; the simplification of video monitoring software can not be connected with the leading edge network in parallel, and the problem that the video monitoring software can not be accessed to each large network platform, a payment platform and a mobile phone APP platform can not be solved.
Disclosure of Invention
The method adopts double cameras, the double cameras work cooperatively, and the method can completely, smoothly and clearly record monitored panoramic pictures and can automatically zoom to perform close-up and tracking shooting on targets; the two cameras respectively adopt independent processors to carry out calculation, and the recognition function of various targets is provided; and a network access port is further opened, and a real-time, flexible and unattended monitoring mode at any time and any place is realized.
A first aspect of the present application provides a video monitoring system, which includes a camera module, a storage device, and a terminal; the camera module comprises a fixed-focus panoramic camera, a zooming tracking camera, a monitoring module and a control module, wherein the fixed-focus panoramic camera acquires a background image of a monitored scene, and the background image is a panoramic image of the monitored scene; the zooming tracking camera performs focusing close-up and tracking on a monitored target through automatic zooming and locking so as to obtain a target image of a monitored scene, wherein the target image is a target image of a moving person or object entering the monitored scene; the camera module also comprises a background image processor and a target image processor, wherein the background image sent by the fixed-focus panoramic camera is received by the background image processor and then processed to obtain background information of a monitored scene; the target image sent by the zoom tracking camera is received by the target image processor and then processed to obtain target information; the storage machine receives and stores image data formed by the background information and the target information in a preset time; the terminal is used for inquiring, controlling, modifying and displaying the image data information.
In a first possible implementation manner of the first aspect, the zoom tracking camera includes a focus control chip, a focus tracking chip, and an identification chip; the zooming tracking camera performs automatic focusing, feature close-up and tracking camera shooting on a target in a monitored scene under the cooperative control of the focusing control chip and the focus tracking chip, and the identification chip performs feature identification on the target.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner, the identification chip includes a two-dimensional code identification unit, a serial number identification unit, a pupil iris identification unit, and a face identification unit.
With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner, when a target in a monitored scene is a cargo, the two-dimension code recognition unit may recognize a two-dimension code of the target cargo to obtain two-dimension code information of the cargo; the serial number identification unit can identify the serial number of the target cargo to obtain serial number information of the cargo; when the target in the monitored scene is a person, the face recognition unit can recognize the face to obtain face information; the pupil iris identification unit can identify the pupil iris of a person to obtain the information of the pupil iris of the person.
In a fourth possible implementation manner of the first aspect, the terminal includes a device with a function of installing application software, such as a mobile phone, a tablet computer, a palmtop computer, a desktop computer, a personal digital assistant, and the like.
In a fifth possible implementation manner of the first aspect, the system further includes a database and a database management module, where the database and the database management module receive the image data and store the image data in the database so as to manage the image data of the monitored scene; the database and database management module comprises a scanning unit, a monitoring unit and an abnormal data processing unit; when the scanning unit scans the image data, the scanned data are matched with the abnormal data stored in the database through the monitoring unit, and if the matching is successful, the abnormal data processing unit processes the abnormal data.
A second aspect of the present application provides a video monitoring method, which is applied to the system as described above, and the method includes: the method comprises the steps that a fixed-focus panoramic camera acquires a background image of a monitored scene, wherein the background image is a panoramic image of the monitored scene; the zooming tracking camera carries out focusing close-up and tracking on a monitored target through automatic zooming and locking so as to obtain a target image of a monitored scene, wherein the target image is a target image of a moving person or object entering the monitored scene; processing the background image to obtain background information; processing the target image to obtain target information; and storing image data consisting of the background information and the target information.
In a first possible implementation manner of the second aspect, the focusing close-up and tracking the monitoring target by the zoom tracking camera through automatic zooming and locking to acquire the target image of the monitored scene specifically includes: when the zoom tracking camera monitors that a target enters a monitoring range, the focus tracking chip marks a plurality of focuses of the target to obtain the overall outline of the target and tracks the plurality of focuses; the recognition chip recognizes the overall contour of the target, and the focusing control chip controls the zooming tracking camera to focus on the recognition feature and the close-up feature of the target for focusing shooting to obtain a target image.
In a second possible implementation manner of the second aspect, the user may query, control, modify and display the image data information through the terminal; the terminal comprises equipment with the function of installing application software, such as a mobile phone, a tablet computer, a palm computer, a desktop computer, a personal digital assistant and the like.
In a third possible implementation manner of the second aspect, the method further includes establishing a database, and storing the background information and the target information in the database, where the database provides an open network interface, and a user may establish a connection with the database through a terminal to query or display the image data information.
The double-camera cooperative monitoring provided by the application can completely, clearly, smoothly and objectively record panoramic pictures, and the zooming tracking camera can complete automatic zooming and target close-up, so that the problems that the video monitoring camera cannot automatically zoom and track and shoot are solved, and the zooming process does not need to be manually controlled; the problems of processor bottleneck and insufficient cache are solved under the independent operation of the two cameras; target function modules of face recognition, pupil iris recognition, two-dimensional code recognition and serial number recognition are provided for users to use; meanwhile, a network access port is further opened, and the traditional fixed monitoring mode is solved, so that the access of each network platform, each payment platform and each terminal realizes a real-time, flexible and unattended monitoring mode at any time and any place.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a video monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a structure of an identification chip in a video monitoring system according to an embodiment of the present invention;
fig. 3a is a schematic structural diagram of a background image processor in a video monitoring system according to an embodiment of the present invention;
fig. 3b is a schematic structural diagram of a target image processor in a video monitoring system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a database and a database management module in a video monitoring system according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of a video monitoring method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Fig. 1 is a schematic structural diagram of a video monitoring system according to an embodiment of the present invention, and as shown in fig. 1, the video monitoring system includes a camera module 1, a storage device 2, and a terminal 3.
Specifically, the camera module 1 includes a fixed focus panoramic camera 11 and a zoom tracking camera 12, where the fixed focus panoramic camera 11 acquires a background image of a monitored scene, where the background image is a panoramic image of the monitored scene and includes a still scene, a person and an article, and a moving article and a person; the zoom tracking camera 12 performs focusing close-up and tracking on the monitored target through automatic zooming and locking to acquire a target image of the monitored scene, wherein the target image is a target image of a moving person or object entering the monitored scene.
The camera module also comprises a background image processor and a target image processor, wherein the background image sent by the fixed-focus panoramic camera is received by the background image processor and then processed to obtain background information of a monitored scene; and the target image sent by the zooming tracking camera is received by the target image processor and then processed to obtain target information.
The storage machine 2 receives and stores image data formed by the background information and the target information in a preset time; the terminal 3 is used for inquiring, controlling, modifying and displaying the image data information.
It should be noted that the monitored scenes in the embodiment of the present invention include scenes of a user cell door, a user home, a large mall, a train station, a pedestrian road section, a traffic road section, a signal lamp post, and the like, which is not limited in the embodiment of the present invention. The video formats compatible with the camera module are H.263, H.264, H.265, MPEG-1, MPEG-2, MPEG-4, RMVB, DAT, AVI, MOV, WMV and MKV.
Specifically, the terminal may be a terminal device having a function of installing application software, such as a mobile phone, a tablet computer, a palmtop computer, a desktop computer, a Personal Digital Assistant (PDA), and the like, which is not limited in this respect.
The terminal can comprise a processor, a memory, an input module, a display module, a network communication module and a system bus; the system bus is used for information transmission among all the components of the terminal. The input module can comprise one or more of a keyboard, a touch screen, a mouse and the like, and is used for receiving user input information and sending the received information to the processor for processing; the display module is used for displaying the content required to be displayed by the terminal. The input module and the display module may be integrated in one touch display screen. The network communication module is used for realizing the function of mutual communication between the terminal and the external equipment. The memory may include one or more computer-readable storage media that may store a corresponding program, such as an operating system, application software, and the like. For example, if a video monitoring APP is installed in the terminal, the user may query the content of the video monitoring database through the video monitoring APP, and may perform related operations, such as: screenshots, logos, etc.
Specifically, the zoom tracking camera 12 includes a focus control chip 121, a focus tracking chip 122, and an identification chip 123; under the cooperative control of the focus control chip 121 and the focus tracking chip 122, the zoom tracking camera 12 performs automatic focusing, feature close-up, tracking and shooting on the target in the monitored scene, and the recognition chip 123 performs feature recognition on the target.
The identification chip 123 in the embodiment of the present invention is described below with reference to fig. 2 as an example. Fig. 2 is a schematic structural diagram of an identification chip in a video monitoring system according to an embodiment of the present invention.
As shown in fig. 2, the recognition chip includes an input unit, a two-dimensional code recognition unit, a serial number recognition unit, a pupil iris recognition unit, a face recognition unit, an output unit, and a 3D image generator unit.
When the target in the monitored scene is a cargo, the two-dimension code identification unit can identify the two-dimension code of the target cargo to obtain the two-dimension code information of the cargo; the serial number identification unit can identify the serial number of the target cargo to obtain serial number information of the cargo.
When the target in the monitored scene is a person, the face recognition unit can recognize the face to obtain face information; the pupil iris identification unit can identify the pupil iris of a person to obtain the information of the pupil iris of the person; and generating a 3D face and a 3D pupil after the face information and the pupil iris information are obtained so as to be output by the output unit. The face information comprises face shape, eyes, nose, mouth, ears, eyebrows and the like.
The embodiment of the invention uses a background image processor for the fixed-focus panoramic camera and uses a target image processor for the zooming tracking camera; namely, the background image processor performs independent operation processing on a background image obtained by the fixed-focus panoramic camera to obtain background information; the target image processor performs independent operation processing on the zoom tracking camera to obtain target information; thereby reducing the operation pressure of the image processor in the prior art and improving the speed of image processing.
The background image processor according to the embodiment of the present invention will be described in detail with reference to fig. 3a as an example. Fig. 3a is a schematic structural diagram of a background image processor in a video monitoring system according to an embodiment of the present invention, where the background image processor processes a background image to obtain background information.
Specifically, a receiving unit of a background image processor receives a background image, a scanning unit scans a video background image in a monitored scene, and identifies main objects in the background image in cooperation with an identification unit, and then a marking unit marks key points; the video and the mark points are led into a background marking unit, the main object is marked on the original mark points, and the general outline of the main object is obtained through the operation of a processing chip of an operation processing unit; and the general outline is led into a result analysis and calculation chip to carry out result analysis on the marking point and the marking line outline to obtain the information and the position of the main object, and finally the information and the position are output to a storage machine through an output unit. The information of the main object comprises video position, video time and video background main body.
The following describes the target image processor in detail according to an embodiment of the present invention with reference to fig. 3a as an example. Fig. 3b is a schematic structural diagram of a target image processor in the video monitoring system according to the embodiment of the present invention, where the target image processor processes a target image to obtain target information.
The target image processor is used for receiving the target image, scanning the video target and identifying the characteristics of the target under the coordination of the scanning unit, the identification unit and the marking unit, and the marking unit marks key points; guiding the video and the mark points into a target full-feature marking unit and a target local-feature marking unit, marking the full-feature and the local feature of the target on the original mark points; then, the general outline of the target is obtained through the operation processing unit and is imported into the result analysis and calculation unit, and the result analysis and calculation chip carries out result analysis on the marking point and the outline of the marking line to obtain the comprehensive information of the target, and the comprehensive information is output to the storage machine 3 through the output unit. When the target is a person, the comprehensive information of the target person is the recent and final positions collected by face, pupil, iris, identity information, person behavior, people counting and video monitoring; when the target is an object, the comprehensive information of the target object is the name, the volume, the model, the quantity, the position and the final position of the object acquired by video monitoring.
Specifically, the storage machine 3 is a video and audio storage machine, and can store the acquired video and audio within a preset time, which is equivalent to a video and audio caching device in a monitored scene; after the preset time, the video and the audio can be automatically covered by the new video and audio; the embodiment of the invention mainly discusses the acquisition of video images.
Specifically, the database and database management module comprises a scanning unit, a monitoring unit and an abnormal data processing unit; when the scanning unit scans the image data, the scanned data are matched with the abnormal data stored in the database through the monitoring unit, and if the matching is successful, the abnormal data processing unit processes the abnormal data.
The database and the database management module are described in detail below with reference to fig. 4 as an example. Fig. 4 is a schematic structural diagram of a database and a database management module in a video monitoring system according to an embodiment of the present invention.
As shown in fig. 4, the input units of the database and the database management module share resources of the video information obtained by video monitoring through the network card on the storage machine 3, and call the video information at will. Under the cooperation of the database unit and the network unit, opening a connection port of the database, and entering a network communication and interaction state; matching the interactive data through a matching unit; after matching is successful, a data table is established for the exchange data through the cooperation of the automatic compiling unit, the automatic key information extracting unit and the automatic screenshot unit, the comprehensive information of the data is compiled automatically, the key information of the data is extracted, and a representative picture is intercepted from the video data of the data and is compiled into the data table. After the data table of the data is established, starting a scanning unit to perform abnormal scanning on the data, if abnormal data is found, starting an abnormal data processing unit, and outputting the information of the abnormal data to the terminal through a feedback output subunit by virtue of an alarm subunit; meanwhile, the abnormal data are locked and tracked through the locking subunit and the tracking subunit, the full-network searching is carried out through the network searching subunit, and after comprehensive information of the abnormal data is searched out, the abnormal data are fed back to the terminal through the feedback output subunit.
As a possible implementation manner of the embodiment of the present invention, in a scene such as a traffic road section where at least one camera module is required to be installed, at least one camera module and a storage mechanism form a video camera monitoring network, at least one database and a database management module form a database platform, and at least one terminal forms a terminal network; the video monitoring network, the database platform and the terminal network form a data network platform of a monitored scene. The traffic management department can realize the monitoring of the traffic road section through the data network platform.
The abnormal data processing unit matches the image data information in the storage machine with the data information in the database server of the third party to determine whether the image data information is abnormal, for example: information such as wanted men of a public security system and the like is obtained in a storage machine, and after the image data of people is obtained, if the information is matched with the wanted men, an alarm subunit is started to prompt a user; in addition, the zoom tracking camera is adopted in the embodiment of the invention, so that the face and the pupil iris can be identified, and the misjudgment rate is low.
A video monitoring method according to an embodiment of the present invention is described in detail below with reference to fig. 5 as an example. Fig. 5 is a schematic flow chart of a video monitoring method according to an embodiment of the present invention.
As shown in fig. 5, a video monitoring method includes steps S501-S505:
s501, the fixed-focus panoramic camera acquires a background image of a monitored scene, wherein the background image is a panoramic image of the monitored scene.
Panoramic images include still scenes, people and objects, and moving objects and people.
S502, the zoom tracking camera tracks the monitoring target through automatic zooming so as to obtain a target image of the monitored scene, wherein the target image is a target image of a moving person or object entering the monitored scene.
And S503, processing the background image to obtain background information.
The target information is the outline information of a static scene, a person and an article and the outline information of a moving person and an article in a monitored scene, and comprises a video position, a video time and a video background main body.
S504, processing the target image to obtain target information.
When the target is a walking person, the target information is face information, pupil information, iris information, identity information, person behaviors, people counting and recent and final positions collected by video monitoring; when the target is an object, the target information is the name, the volume, the model and the quantity of the object, and the position of the object acquired by video monitoring.
And S505, storing image data formed by the background information and the target information.
Specifically, the zoom tracking camera performs focusing close-up and tracking on the monitoring target through automatic zooming and locking so as to acquire the target image of the monitored scene specifically includes: when the zoom tracking camera monitors that a target enters a monitoring range, the focus tracking chip marks a plurality of focuses of the target to obtain the overall outline of the target and tracks the plurality of focuses; the recognition chip recognizes the overall contour of the target, and the focusing control chip controls the zooming tracking camera to focus on the recognition feature and the close-up feature of the target for focusing shooting to obtain a target image.
Specifically, the user can inquire, control, modify and display the image data information through the terminal; the terminal comprises a mobile phone, a tablet computer, a palm computer, a desktop computer, a personal digital assistant and other devices with the function of installing application software.
Specifically, the method further comprises the steps of establishing a database, and storing the background information and the target information into the database, wherein the database provides an open network interface, and a user can establish connection with the database through a terminal so as to inquire or display the image data information.
The double-camera cooperative monitoring provided by the application can completely, clearly, smoothly and objectively record a panoramic picture, and the zooming tracking camera can complete automatic zooming and target close-up, so that the problems that the video monitoring camera cannot automatically zoom and track and shoot are solved, and meanwhile, the zooming process does not need to be manually controlled; the problems of processor bottleneck and insufficient cache are solved under the independent operation of the two cameras; and provides the target function modules of face recognition, pupil iris recognition, two-dimensional code recognition and serial number recognition for the user; meanwhile, a network access port is further opened, and the traditional fixed monitoring mode is solved, so that the access of each network platform, each payment platform and each terminal realizes a real-time and flexible monitoring mode at any time and any place.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A video monitoring system is characterized by comprising a camera module, a storage machine and a terminal; wherein the content of the first and second substances,
the camera module comprises a fixed-focus panoramic camera and a zooming tracking camera, wherein the fixed-focus panoramic camera acquires a background image of a monitored scene, and the background image is a panoramic image of the monitored scene; the zoom tracking camera performs focusing close-up and tracking on a monitoring target through automatic zooming and locking so as to obtain a target image of a monitored scene, wherein the target image is a target image of a moving person or object entering the monitored scene;
the camera module also comprises a background image processor and a target image processor, wherein the background image sent by the fixed-focus panoramic camera is received by the background image processor and then processed to obtain background information of a monitored scene; the target image sent by the zoom tracking camera is received by the target image processor and then processed to obtain target information; the storage machine receives and stores image data consisting of the background information and the target information in a preset time; the terminal is used for inquiring, controlling, modifying and displaying the image data;
the fixed-focus panoramic camera and the background image processor form a complete background image acquisition and processing system; the zoom tracking camera and the target image processor form a complete target image acquisition and processing system;
the background image processor comprises a receiving unit, a scanning unit, an identification unit, a marking unit, a background marking unit, an arithmetic processing unit, a result analysis and calculation unit and an output unit;
the target image processor comprises a receiving unit, a scanning unit, an identification unit, a marking unit, a target full-appearance marking unit, a target local-appearance marking unit, an operation processing unit, a result analysis and calculation unit and an output unit.
2. The system of claim 1, wherein the zoom tracking camera performs auto-focusing, feature close-up, tracking and shooting on the target in the monitored scene under the cooperative control of the focus control chip and the focus tracking chip, and the recognition chip performs feature recognition on the target.
3. The system of claim 2, wherein the recognition chip comprises a two-dimensional code recognition unit, a serial number recognition unit, a pupil iris recognition unit and a human face recognition unit.
4. The system of claim 3, wherein when the target in the monitored scene is a cargo, the two-dimension code recognition unit can recognize the two-dimension code of the target cargo to obtain the two-dimension code information of the cargo; the serial number identification unit can identify the serial number of the target cargo to obtain serial number information of the cargo;
when the target in the monitored scene is a person, the face recognition unit can recognize the face to obtain face information; the pupil iris identification unit can identify the pupil iris of a person to obtain the information of the pupil iris of the person.
5. The system according to claim 1, wherein the terminal is a device having a function of installing application software, and the device comprises a mobile phone, a tablet computer, a palm computer, a desktop computer, and a personal digital assistant.
6. The system of claim 1, further comprising a database and database management module, the database and database management module receiving the image data and storing the image data in a database for managing the image data of the monitored scene;
the database and database management module comprises a scanning unit, a monitoring unit and an abnormal data processing unit; when the scanning unit scans the image data, the scanned data are matched with the abnormal data stored in the database through the monitoring unit, and if the matching is successful, the abnormal data processing unit processes the abnormal data.
7. A video surveillance method for use in a system according to any of claims 1-6, the method comprising:
the method comprises the steps that a fixed-focus panoramic camera acquires a background image of a monitored scene, wherein the background image is a panoramic image of the monitored scene;
the zooming tracking camera carries out focusing close-up and tracking on a monitored target through automatic zooming and locking so as to obtain a target image of a monitored scene, wherein the target image is a target image of a moving person or object entering the monitored scene;
processing the background image to obtain background information;
processing the target image to obtain target information;
and storing image data consisting of the background information and the target information.
8. The method according to claim 7, wherein the automatic zooming and locking of the zoom tracking camera to perform focusing close-up and tracking on the monitored target and further acquire the target image of the monitored scene specifically comprises:
when the zoom tracking camera monitors that a target enters a monitoring range, the focus tracking chip marks a plurality of focuses of the target to obtain the overall outline of the target and tracks the plurality of focuses; the recognition chip recognizes the overall contour of the target, and the focusing control chip controls the zooming tracking camera to focus on the recognition feature and the close-up feature of the target for focusing shooting to obtain a target image.
9. The method according to claim 7, wherein a user inquires, controls, modifies and displays the image data information through a terminal; the terminal is a device with the function of installing application software, and comprises a mobile phone, a tablet computer, a palm computer, a desktop computer and a personal digital assistant.
10. The method of claim 7, further comprising establishing a database, storing the background information and the target information in the database, wherein the database provides an open network interface, and a user establishes a connection with the database through a terminal so as to query or display the image data.
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| CN107896316A (en) * | 2017-11-29 | 2018-04-10 | 合肥寰景信息技术有限公司 | Digital video intelligent monitoring system based on dual camera |
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