CN101018324A - A video monitoring controller and video monitoring method and system - Google Patents
A video monitoring controller and video monitoring method and system Download PDFInfo
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Abstract
The disclosed continual video monitor method for one target comprises: a video monitor controller receives both video from camera and signal from motion sensor; the controller analyzes sensor signal to obtain parameter set and hereby decide the optimal video flow fro transmitting to a memory and/or display terminal. This invention improves automation and intelligence level, reduces labor intensity, and saves labor cost.
Description
Technical field
The present invention relates to field of video monitoring, particularly a kind of video monitoring controller, the method and system that same target is carried out continuous videos monitoring.
Background technology
The key equipment of existing video monitoring system is the video monitoring controller, comprises the downlink communication module, video flowing receiver module, video flowing forwarding module, motion sensor parameter processing module, uplink communication module.Existing video monitoring controller receives the view data of each camera collection, and analyzes and to obtain some parameters, as target velocity, size etc.
At present, video monitoring is widely used in various fields, the networking diagram of video monitoring as shown in Figure 1, there are a plurality of cameras that mobile the carry out continuous videos of same target in different camera head monitor scopes followed the tracks of, by IP network the video wall that video flowing sends in the machine room is shown, the effect of numeral switching matrix is that different cameras is switched, and best video stream is shown on video wall.(so-called " best video stream " generally is meant the video flowing of " monitoring objective is nearest apart from camera ", because distance is near more clear more.) but described best video stream obtains by the human eye judgement, and change action also is manual operation.The deployment of camera need be surveyed through meticulous accent, does not have the blind area in the scope of guaranteeing to monitor, and the person on duty must know the particular location that each camera is installed; Suppose to have camera 1, camera 2 ..., camera n, realize that the step that the continuous videos of same target is followed the tracks of is as follows:
(1) when target entered camera 1 regional, the person on duty locked this target, the trend of tracking target;
(2) person on duty can enter the zone of camera 2 from the mobile trend evaluating objects of target;
(3) image of person on duty's monitoring camera 2 continues to follow the tracks of to target, and the rest may be inferred, and the person on duty realizes the continuous tracking to this target.
Therefore, existing video monitoring means require the person on duty to know the deployed position of camera, and the person on duty is had relatively high expectations; In addition, need human eye to judge and the manual switching camera, could follow the tracks of same target in real time exactly, workload is very big, the labour intensity height.
Summary of the invention
In view of what exist in the prior art same target is carried out dependence human eye judgement of continuous videos monitoring needs and manually-operated problem, the method and system that the embodiment of the invention provides a kind of video monitoring controller, in certain zone same target carried out the continuous videos monitoring.
The embodiment of the invention provides a kind of video monitoring controller, comprising:
The downlink communication module is used to receive from the video flowing of camera with from the signal of motion sensor;
Motion sensor parameter processing module is used for described signal from motion sensor is analyzed, and obtains parameter sets;
The analysis and distinguishing module is used for judging best video stream according to described parameter sets;
The video flowing forwarding module is used to transmit described best video stream.
The embodiment of the invention also provides a kind of method of video monitoring, comprising:
The video monitoring controller receives from the video flowing of camera with from the signal of motion sensor;
The video monitoring controller is analyzed described signal from motion sensor, obtains parameter sets;
The video monitoring controller is judged best video stream according to described parameter sets;
The video monitoring controller is transmitted to memory and/or display terminal with described best video stream.
The embodiment of the invention also provides a kind of video monitoring system, comprising:
At least two cameras are used to gather video flowing; In-built motion sensor in the camera is used to gather the motion-sensing signal;
Display terminal is used for display of video streams; And,
The video monitoring controller comprises:
The downlink communication module is used to receive from the video flowing of camera with from the signal of motion sensor;
Motion sensor parameter processing module is used for described signal from motion sensor is analyzed, and obtains parameter sets;
The analysis and distinguishing module is used for judging best video stream according to described parameter sets;
The video flowing forwarding module is used to transmit described best video stream.
By the present invention, realized same target continuous monitoring has automatically in real time been improved automation, intelligent degree, need not manually participate in, reduced labour intensity, saved human cost.
Description of drawings
Fig. 1 is the video monitoring networking diagram of prior art;
Fig. 2 is the video monitoring controller architecture schematic diagram of the embodiment of the invention one;
Fig. 3 is the video monitoring controller architecture schematic diagram of the embodiment of the invention two;
Fig. 4 is the video monitoring controller architecture schematic diagram of the embodiment of the invention three;
Fig. 5 is the flow chart that the supervisory control device of the embodiment of the invention four is judged best video stream;
Fig. 6 is the flow chart that the supervisory control device of the embodiment of the invention five is judged best video stream;
Fig. 7 calculates the schematic diagram of target from the camera theoretical in the embodiment of the invention two;
Fig. 8 is the system group network figure that communicates by letter in the IP mode of the embodiment of the invention six;
Fig. 9 is the system group network figure with the communication of RS-232 serial mode of the embodiment of the invention seven;
Figure 10 is the system group network figure of the wire and wireless mixed communication that combines with IP mode and WiFi mode of the embodiment of the invention eight.
Embodiment
The method and system that the invention provides a kind of video monitoring controller, same target is carried out the continuous videos monitoring.For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in detail below in conjunction with accompanying drawing.
Embodiment one
With reference to Fig. 2, present embodiment is described.The video monitoring controller of present embodiment comprises the downlink communication module, video flowing receiver module, video flowing forwarding module, motion sensor parameter processing module, uplink communication module and analysis and distinguishing module.Each road video flowing of camera collection is actually with " image sequence of streamed existence ", and the motion sensor that is built in camera is responded to the every two field picture in the image sequence and handled, and obtains the motion-sensing signal.
The downlink communication module receives from the video flowing of camera with from the signal of the motion sensor that is built in camera; Motion sensor parameter processing module obtains parameter sets by the signal of downlink communication module reception from motion sensor to signal analysis; Parameter sets is sent to the analysis and distinguishing module; The analysis and distinguishing module receives parameter sets, judges best video stream according to parameter sets.
Embodiment two
With reference to Fig. 3 present embodiment is described.Present embodiment is based on the improvement of embodiment one.The analysis and distinguishing module comprises that specifically first processing module 201 and second processing module, 202, the first processing modules are used for judging the correct the target whether target of each two field picture will be monitored; Second processing module is used to judge best video stream.The downlink communication module communicates with a plurality of cameras, can receive the signal that the motion sensor of the video flowing of each camera collection and each camera is gathered by multiple communication mode, give video flowing receiver module and motion sensor parameter processing module these video flowings and signal forwarding then; The video flowing of same camera collection is corresponding with the signal that the motion sensor of this camera is gathered.
Motion sensor parameter processing module is analyzed the signal of each motion sensor collection, the parameter sets that obtains after analyzing--the data such as distance that comprise geometric properties, speed, angle, color, target and the camera of camera numbering, target send to the analysis and distinguishing module, and the parameter that described parameter sets specifically comprises can obtain according to the needs of analysis and judgement module and analysis obtains.If N camera--camera 1 is arranged, camera 2, ..., camera N so just correspondingly has N road video flowing, and N group sensor signal is correspondingly arranged, N group parameter sets is also correspondingly arranged, described N group parameter sets might as well be designated as parameter sets 1 respectively, parameter sets 2 ... parameter sets N.
Described first processing module receives the sensor signal corresponding parameters set of N camera; Might as well suppose that the video monitoring controller is when the pre-treatment n (video flowing of individual camera of 1≤n≤N), first processing module receives the parameter sets from the current frame image of n camera video stream of second processing module, read the parameter sets of former frame image, parameter sets according to this two two field picture is calculated, the correct the target whether target of judgement current frame image is monitored feeds back to second processing module with result of determination.
To n camera video stream, its corresponding parameters set be designated as parameter sets n (1≤n≤N), remember this video flowing the 1st two field picture, the 2nd two field picture ..., the parameter sets n of m two field picture is parameter sets n
1, parameter sets n
2..., parameter sets n
m. when the supervisory control device initialization, first processing module is preserved the parameter sets n of first two field picture
1Afterwards, handle each time, such as the i time processing, described first processing module reads the parameter sets n of the former frame image of having preserved
I-1, from the parameter sets n of described second processing module reception current frame image
i, according to the parameter sets n of front and back two two field pictures
I-1And n
iThe correct the target whether target in the computational discrimination current frame image will be monitored feeds back to second processing module with judged result, then with the parameter sets n of current frame image
iPreserve; Perhaps, with current frame image parameter sets n
iPreserve and delete the parameter sets n of former frame image
I-1To save memory space.
The computational methods that first processing module is adopted can be gone design from two aspects, and a kind of is the method for judging the position according to the target mobile trend, and another kind of method is to extract the characteristic parameter of moving target and mate from image, just image-recognizing method.
First method:,,, then lock the target of current frame image, with the parameter sets i of current frame image if there is not lock onto target before to the k two field picture such as to i road video flowing
kPreserve; If the existing before target that locks is then from current frame image parameter sets i
kWith former frame image parameter set i
K-1In extract target in the speed, time, angle, former frame image of moving target in the distance of camera i and current frame image target from the parameters such as actual range of camera i, target is from the theoretical of camera i in the calculating current frame image, if in the described current frame image target from the theoretical of camera i with described current frame image in target from the deviation of the actual range of camera i less than the critical value of setting, then determine the correct target of current goal for monitoring.Concrete computational methods explain with reference to Fig. 7, and A and B represent target residing position successively, and SobjA represents target in the distance of A point from this camera, and SobjB represents that target is in the distance of B point from this camera; θ A is the angle of target at the relative line of reference of A point, and θ B is the angle of target at the relative line of reference of B point, and v represents the translational speed of target, and twice time difference before and after Δ t represents, v* Δ t represents the distance that the A point is ordered to B; Δ θ=θ B-θ A, the expression differential seat angle; When target with speed v when the A point moves to the B point, SobjA, v* Δ t, θ B, θ A is known, then utilizes the cosine law can calculate SobjB, computing formula is as follows:
SobjA
2+ SobjB
2-2*SobjA*SobjB*Cos Δ θ=(v* Δ t)
2That is:
SobjA
2+SobjB
2-2*SobjA*SobjB*CosΔθ-(v*Δt)
2＝0
Target is got among the following formula result one from the theoretical of camera in the current frame image, and the method for deviation is: deviation=| target is from the theoretical of camera in (in the current frame image target in the theoretical-current frame image of camera target from the actual range of camera)/current frame image |; Perhaps, deviation=| target is from the actual range of camera in (in the current frame image target in the theoretical-current frame image of camera target from the actual range of camera)/current frame image |.The computational methods of deviation can design according to actual needs.
Adopting second method is the image recognition method: first processing module receives the parameter sets i from the current frame image of second processing module
kIf, there is not lock onto target before, then lock this target, with current parameter sets i
kPreserve; If the target of existing locking then according to the parameter sets calculated characteristics parameter of described current frame image, is extracted the parameter sets i of the former frame image of preserving before
K-1, calculate corresponding characteristic parameter, the characteristic parameter of front and back two two field pictures is made comparisons, if the characteristic parameter of front and back two two field pictures coupling, the target of then judging current frame image is the correct target that monitors.Described image recognition algorithm comprises artificial neural net, SVMs (SVM) scheduling algorithm.
Clear in order to explain, might as well suppose to have 3 cameras, monitored space has 2 objects--A and B, the correct target of A for monitoring.
With reference to Fig. 3, described second processing module is connected respectively with motion sensor parameter processing module with first processing module, second processing module receives the parameter sets from motion sensor parameter processing module, second processing module preestablishes the monitoring range S1 of each camera, S2, S3, if k1 two field picture when pre-treatment camera 1, the k2 two field picture of camera 2, the k3 two field picture of camera 3, pairing parameter sets is respectively 1
K1, 2
K2, 3
K3, calculate according to described parameter sets, judge the image that filters out the target correspondence that drops within the predetermined monitoring range, suppose that target that screening obtains camera 1 and camera 2 monitoring drops on to be scheduled within the monitoring range, then with the parameter sets 1 of the image that filters out
K1With 2
K2Feed back to described first processing module; First processing module receives the parameter sets 1 from second processing module
K1With 2
K2, judge to filter out the image that monitors correct target A, suppose that the target of this two two field picture is the correct target that will monitor, will judge that results of screening feeds back to described second processing module; Second processing module receives the result from first processing module, according to certain rule, such as " nearest principle "--and the nearest pairing video flowing of image of target range camera is a best video stream, judges best video stream.
Embodiment three
With reference to Fig. 4, described first processing module links to each other respectively with described motion sensor parameter processing module with described second processing module, and described first processing module receives the described parameter sets 1 from described motion sensor parameter processing module
K1, 2
K2, 3
K3(notation is referring to embodiment two) calculates according to described parameter sets, judges to filter out the image that monitors correct target A, supposes that the target of camera 1 and camera 2 monitoring is correct target A, will judge that results of screening feeds back to described second processing module; Described second processing module receives the judgement results of screening of described first processing module, judges best video stream according to nearest principle or other principle.
First processing module and second processing module among the foregoing description two and the embodiment three are divided according to function logic, can be incorporated in the same equipment in actual applications, perhaps merge mutually with miscellaneous equipment; Its computation complexity may be relevant with the object number in the monitored space with the camera number, when specifically using, and can be according to actual conditions to the function of first processing module and second processing module with trigger sequence adjusts or modification.
Embodiment four
With reference to Fig. 5, method of the present invention is described.The invention provides a kind of method of same target being carried out the continuous videos tracking, this method is specially: the zone of action of institute's monitoring objective is divided into several monitored spaces, each monitored space is disposed a camera respectively, is used for same target is carried out the continuous videos monitoring between a plurality of monitored spaces.The detection signal of camera is judged that also the equipment of outputting video streams is the video monitoring controller, and it is the key equipment that this method realizes.Clear in order to explain, be example with three cameras in the following description.
The method comprising the steps of:
The video monitoring controller receives from the video flowing of camera with from the signal of motion sensor, signal from motion sensor is analyzed, obtain parameter sets, comprise the data such as distance of geometric properties, speed, angle, color, target and the camera of camera numbering, target; The content of described parameter sets can be obtained according to the needs of analysis and judgement module and analyze; Described video monitoring controller is analyzed, is judged correct target, judges best video stream according to described parameter sets; Described video monitoring controller sends to memory with best video stream and stores, and perhaps sends to display terminal and shows.
For IP CAMERA is an example, Smax_1 represents the predefined monitoring range of IP CAMERA1 with the camera; Smax_2 represents the predefined monitoring range of IP CAMERA2; Smax_3 represents the predefined monitoring range of IP CAMERA3; Sobj_1 represents the distance between target and the IP CAMERA1; Sobj_2 represents the distance between target and the IP CAMERA2; Sobj_3 represents the distance between target and the IP CAMERA3; S Δ 1 expression Smax_1-Sobj_1; S Δ 2 expression Smax_2-Sobj_2; S Δ 3 expression Smax_3-Sobj_3.Described step " described video monitoring controller is analyzed, judged correct target, judges best video stream according to described parameter sets " is described further with reference to Fig. 5:
2a. obtain corresponding parameter sets: the Sobj_i of each two field picture, the geometric properties of target, speed, angle etc.;
2b. calculate difference S Δ 1, S Δ 2, the S Δ 3 of each monitoring distance respectively with the distance of target and camera;
2c., filter out corresponding image if there is difference S Δ i to judge that more than or equal to 0 target falls into predetermined monitoring range;
2d. from described multiple image, judge and filter out the image that monitors correct target; If filter out multiple image, then carry out next step; If only filter out a two field picture, determine that then its corresponding video flowing is best video stream and sends forward command;
2e. according to certain rule, such as " nearest principle "--the nearest pairing video flowing of image of target range camera is a best video stream, monitors from described multiframe and judges the image of correct target and filter out corresponding best video stream;
2f. best video stream is forwarded to memory or display terminal.
Embodiment five
Based on embodiment four, obtain present embodiment after the improvement, describe with reference to Fig. 6:
2a. obtain each two field picture corresponding parameters set: Sobj_i, the geometric properties of target, speed, angle etc.;
2b. from described multiple image, judge and filter out the image that monitors correct target; If filter out multiple image, then carry out next step; If only filter out a two field picture, determine that then its corresponding video flowing is best video stream and sends forward command;
2c. according to certain rule, such as " nearest principle "--the nearest pairing video flowing of image of target range camera is a best video stream, monitors from described multiframe and judges the image of correct target and filter out corresponding best video stream.
2d. best video stream is forwarded to memory or display terminal.
Judge target in the current frame image whether during correct target, the method for employing can be gone design from two aspects, and a kind of is the method for judging the position according to the target mobile trend, and another kind of method is the image recognition method.The specific implementation process of these two kinds of methods does not repeat them here embodiment two existing elaborating.
Video monitoring system provided by the invention comprises: at least two cameras, video monitoring controller, display terminal and/or memories; Camera is used to gather video flowing; In-built motion sensor in the camera is used to gather the motion-sensing signal; Display terminal is used for display of video streams; Memory is used for the store video flow data; The video monitoring controller is used for video flowing and motion-sensing signal from described camera are handled.The video monitoring controller comprises: downlink communication module, video flowing receiver module, video flowing forwarding module, motion sensor parameter processing module, analysis and distinguishing module, uplink communication module; Wherein, the downlink communication module is used to receive from the video flowing of camera with from the signal of motion sensor; Motion sensor parameter processing module is used for described signal from motion sensor is analyzed, and obtains parameter sets; The analysis and distinguishing module is used for judging best video stream according to parameter sets; The video flowing forwarding module is used to transmit described best video stream.
The signal that the video monitoring controller is used to be used to from the camera transducer is analyzed, judges and the forwarding best video stream, and be the key equipment of this present embodiment system.
The constructing communication network mode of this system.All cameras and video monitoring controller, video monitoring controller and memory, video monitoring controller and display terminal are the mode of using by wired, wireless or wired and wireless mixing and set up and communicate by letter; The interface of communication comprises IP communication, RS-232 serial communication, USB, WiFi and bluetooth etc., and these interfaces can mix use.
Different modes according to the system communication networking provides embodiment below.Clear in order to explain, in the following description, be example with three cameras, camera is designated as camera 1 respectively, camera 2 and camera 3.
Embodiment six
Interface between each equipment of the video monitoring system of the embodiment of the invention communicates in the IP mode, the system communication networking mode as shown in Figure 8, camera is respectively IP CAMERA1, IP CAMERA2 and IP CAMERA3, the IP address is respectively 192.168.1.11,192.168.1.12 and 192.168.1.13; Supervisory control device, receive the movable information of the object that each motion sensor transmits, comprise the object reportedly rate travel of distance, the object of sensor and angle etc., the video flowing of judging current which IP CAMERA by these information is the most clear, screen this road video flowing, send to memory and store, perhaps send to decoder or display shows; Communicate by IP with IP CAMERA, the IP address is 192.168.1.1, also communicates by IP with memory and decoder/display, and the IP address is 202.38.1.211; Memory receives the video flowing that supervisory control device is transmitted, and stores, in order to checking that its IP address is 202.38.1.212; Display terminal IP address is 202.38.1.213, can be decoder or display, receives the video flowing that supervisory control device is transmitted, and video flowing is decoded, and shows then.
Embodiment seven
Communication interface between each equipment of the video monitoring system of present embodiment is the RS-232 serial ports, promptly communicates with serial mode, and being 3 with the camera number is that example describes.Interface between supervisory control device and camera, memory, the display terminal is the RS-232 serial ports, and the video monitoring controller has a plurality of RS-232 serial ports.The constructing communication network mode of system as shown in Figure 9.
Embodiment eight
Each communication between devices mode of the video monitoring system of present embodiment is that wireless and wired mode is mixed, and is specially the IP mode and the WiFi mode combines, and being 3 with the camera number is that example describes.The constructing communication network mode of system as shown in figure 10, the video monitoring controller is communicated by letter for the WiFi mode with the interface between camera, the interface between supervisory control device and memory, the display terminal is the IP interface.
The foregoing description only is used to illustrate the present invention, but not is used to limit the present invention.Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (16)
1. a video monitoring controller is characterized in that, comprising:
The downlink communication module is used to receive from the video flowing of camera with from the signal of motion sensor;
Motion sensor parameter processing module is used for described signal from motion sensor is analyzed, and obtains parameter sets;
The analysis and distinguishing module is used for judging best video stream according to described parameter sets;
The video flowing forwarding module is used to transmit described best video stream.
2. video monitoring controller according to claim 1 is characterized in that, described analysis and distinguishing module comprises:
First processing module is used for according to analysis obtains from described motion sensor parameter processing module parameter sets, judges the correct the target whether target in the current frame image of each video flowing will be monitored;
Second processing module is used for judging best video stream according to the described result of determination of first processing module.
3. video monitoring controller according to claim 2 is characterized in that, described first processing module is according to current frame image and the set of former frame image corresponding parameters, and target is from the theoretical of camera in the calculating current frame image; Judge whether the deviation of described theoretical and current actual range is no more than the critical value of setting; If then judge the correct target of target in the current frame image for monitoring.
4. video monitoring controller according to claim 3, it is characterized in that the method for calculating described deviation is: deviation=| target is from the theoretical of camera in (in the current frame image target in the theoretical-current frame image of camera target from the actual range of camera)/current frame image |; Perhaps, deviation=| target is from the actual range of camera in (in the current frame image target in the theoretical-current frame image of camera target from the actual range of camera)/current frame image |.
5. video monitoring controller according to claim 2, it is characterized in that, described first processing module is according to current frame image and the corresponding parameters set separately of former frame image, calculate the characteristic parameter of described two two field pictures, whether the characteristic parameter of judging described two two field pictures mates, if coupling is then judged the correct target of target for monitoring in the current frame image.
6. according to claim 3 or 5 described video monitoring controllers, it is characterized in that, described second processing module receives the parameter sets from motion sensor parameter processing module, calculate according to described parameter sets, judge the picture frame that filters out the target correspondence that drops within the predetermined monitoring range, the pairing parameter sets of the picture frame that filters out is fed back to described first processing module; Receive first processing module and judge results of screening, judge best video stream according to nearest principle;
Described first processing module receives the parameter sets from the described picture frame that filters out of described second processing module, judges to filter out the picture frame that monitors correct target, will judge that results of screening feeds back to described second processing module.
7. according to claim 3 or 5 described video monitoring controllers, it is characterized in that, described first processing module receives the parameter sets from motion sensor parameter processing module, calculate according to described parameter sets, judge to filter out the picture frame that monitors correct target, will judge that results of screening feeds back to described second processing module; Described second processing module receives the judgement results of screening of described first processing module, judges best video stream according to nearest principle.
8. the method for a video monitoring is characterized in that, comprising:
The video monitoring controller receives from the video flowing of camera with from the signal of motion sensor;
The video monitoring controller is analyzed described signal from motion sensor, obtains parameter sets;
The video monitoring controller is judged best video stream according to described parameter sets;
The video monitoring controller is transmitted to memory and/or display terminal with described best video stream.
9. method according to claim 8, it is characterized in that, described step " the video monitoring controller is judged best video stream according to parameter sets " specifically comprises: a. video monitoring controller calculates according to parameter sets, judge the picture frame that filters out the target correspondence that drops within the predetermined monitoring range, if filter out multiple image, then carry out next step; B. from described multiple image, judge the picture frame that filters out the correct target that monitors,, then carry out next step if filter out multiple image; C according to nearest principle, monitors from described multiframe and to judge the image of correct target and filter out corresponding best video stream.
10. method according to claim 8, it is characterized in that, described step " the video monitoring controller is analyzed, judged the correct target of screening, judges best video stream according to parameter sets " comprising: a. video monitoring controller calculates according to parameter sets, judge and filter out the picture frame that monitors correct target, if filter out multiple image, then carry out next step; B. according to nearest principle, from described multiple image, judge to filter out corresponding best video stream.
11. method according to claim 8, it is characterized in that, described " judging correct target " specifically comprises: calculate in the current frame image target from the theoretical of camera according to the parameter sets of described front and back two two field pictures, if target less than the critical value of setting, judges then that the target in the current frame image is the correct target that will monitor from the deviation of the theoretical of camera and described current actual range in the described current frame image.
12. method according to claim 11, it is characterized in that the method for calculating described deviation is: deviation=| target is from the theoretical of camera in (in the current frame image target in the theoretical-current frame image of camera target from the actual range of camera)/current frame image |; Perhaps, deviation=| target is from the actual range of camera in (in the current frame image target in the theoretical-current frame image of camera target from the actual range of camera)/current frame image |.
13. method according to claim 8, it is characterized in that, calculate the characteristic parameter of front and back two two field pictures according to the parameter sets of front and back two two field pictures, whether the characteristic parameter of judging described front and back two two field pictures mates, if coupling is then judged the correct target of target for monitoring in the current frame image.
14. a video monitoring system is characterized in that, comprising:
At least two cameras are used to gather video flowing; In-built motion sensor in the camera is used to gather the motion-sensing signal;
Display terminal is used for display of video streams; And,
The video monitoring controller comprises:
The downlink communication module is used to receive from the video flowing of camera with from the signal of motion sensor;
Motion sensor parameter processing module is used for described signal from motion sensor is analyzed, and obtains parameter sets;
The analysis and distinguishing module is used for judging best video stream according to described parameter sets;
The video flowing forwarding module is used to transmit described best video stream.
15. video monitoring system according to claim 14 is characterized in that, the communication interface between camera and video monitoring controller, video monitoring controller and the display terminal is wired mode, wireless mode, the mode of perhaps wired and wireless mixing.
16. video monitoring system according to claim 15, it is characterized in that the communication interface type between camera and video monitoring controller, video monitoring controller and the display terminal comprises at least a in IP, RS-232 serial, USB, WiFi or the bluetooth.
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