CN101123721A - An intelligent video monitoring system and its monitoring method - Google Patents
An intelligent video monitoring system and its monitoring method Download PDFInfo
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Abstract
Description
Technical field
The present invention relates to a kind of intelligent video monitoring system and method for supervising thereof, belong to digital picture and communication technical field, be a kind of moving target of can finding automatically, follow the tracks of and discern, and can carry out the intelligent video monitoring system of goal behavior identification in conjunction with setting warning line or warning region.
Background technology
Along with Development of Multimedia Technology, and the needs of safe city construction, video monitoring system is just becoming to be needed day by day.Video monitoring system is used in bank, department store, industrial area even street.The video monitoring system of prior art is typically based on following notion: video camera is installed in area to be monitored, the image sequence of taking arrives control centre through special video line or Network Transmission, ceaselessly staring at display screen by special supervision personnel watches, as unusual circumstance, then start warning device, so that caution offender, or go to check before assigning the security personnel, perhaps all deposit the video flowing that transmits in hard disk simultaneously, so that search previous video recording after meeting accident again, for public security department provides admissible evidence.
Above-described is typical traditional video surveillance system, and it has two fatal shortcomings: the one, and, the supervision personnel are seeing that display screen will produce visual fatigue in about 20 minutes, was easy to fail to report alert incident; The 2nd,, whole video datas deposit hard disk in, will occupy very big disk size, or can utilize very big transmission bandwidth.Simultaneously, this type of video monitoring system does not possess intelligent, needs special supervision personnel to participate in.
China Patent No. is that a kind of unusual target of ZL03116154.5 is found and the tracking camera system automatically, can find unusual target in the visual field from motion tracking, when Surveillance center reports to the police, can carry out from motion tracking target, and adjust the camera lens multiplication factor automatically, obtain the target image of complete display.This system has possessed moving (having people, object to enter) or producing the abnormal conditions that video image characteristic changes under the situations such as naked light, dense smoke of automatic discovery object.But, in actual conditions, be not that in the scope of shot by camera moving target to be arranged all are abnormal conditions, mostly be target only arriving a certain zone, perhaps pass a certain position and just be considered to abnormal conditions.
Based on above situation, we propose a kind of weakness that overcomes the traditional video surveillance system, more superior than general intelligence supervisory control system simultaneously intelligent video monitoring system and method for supervising.
Summary of the invention
One object of the present invention is, overcome above-mentioned the deficiencies in the prior art, provide a kind of intelligent video monitoring system: first, this system can allow the user that alarm rule is set easily, process is to behind the video content analysis, just can do the monitoring automatically of real-time behavior intelligence to the target in the surveillance zone in conjunction with alarm rule, the supervision personnel need not be set in addition; The second, except reporting to the police, system also can store video stream in storage and monitoring time segment under abnormal conditions, for inquiry in the future; The 3rd, owing to setting alarm rule, have the automated intelligent analysis ability, just begin store video after being offended, be different from traditional supervisory control system and need whole stored video datas, thereby can very big conserve storage.
Another object of the present invention is that a kind of method for supervising that is applicable to intelligent video monitoring system of the present invention is provided: this method program is reasonable.For the intelligent video monitoring system of realizing that the present invention proposes, this method provides the core technology approach of this system effectively.Owing to adopted practical moving object detection and tracking algorithm, guaranteed that this method can detect the moving object (comprising the people, thing, vehicle etc.) in the monitor video scene effectively, and follow the tracks of detected moving target, so that carry out video analysis.At common problem in the current video monitoring, change, exist in the scene factor of ectocrine volume tracing such as target shadow as monitoring scene, handled in the method, make this method practicability and effectiveness more.
The technical scheme of intelligent video monitoring system of the present invention is: described a kind of intelligent video monitoring system, and it comprises shooting unit 1, alarm 2, control module 3, PC terminal software 4; Wherein, shooting unit 1, alarm 2 and PC terminal software 4 are connected with control module 3 respectively; Described control module 3 comprises central processing module 3.1, data memory module 3.2, analysis module 3.3, alarm module 3.4, video acquisition module 3.5, communication module 3.6 and network connector 3.7; Described data memory module 3.2, analysis module 3.3 and communication module 3.6 all with central processing module 3.1 two-way linking, alarm module 3.4 and central processing module 3.1 unidirectional linking; Video acquisition module 3.5 links by analysis module 3.3 and central processing module 3.1; Network connector 3.7 links by communication module 3.6 and central processing module 3.1, is used to provide the transmission of alarm rule and video data.
Described PC terminal software 4 comprises display module 4,1, alarm rule module 4.2 and alarm log module 4.3, links by TCP/IP and network connector 3.7; Described network connector 3.7 is selected from RJ-45.
Described analysis module 3.3 is video content analysis program Solidification outside high-speed procedure memory within it to be used to detect the interior interested moving object of monitoring range and also to be followed the tracks of and discern, and result is transferred to central controller.
Described analysis module 3.3 is selected from the TMS320C6000 digital signal processor of American TI Company.
Described alarm rule module 4.2 is the alarm rule modules that have specific alarm rule, and this alarm rule is user's a kind of or its combination according to the following several dissimilar alarm rule of its actual needs setting:
1). scene changes, and comprises that object is moved, hides unusual;
2). single warning line comprises through direction is set that promptly object passes the defence line of appointment by assigned direction;
3). two warning lines comprise through direction is set that promptly object passes two defence lines of appointment by assigned direction;
4). warning region promptly is provided with polygonal warning region arbitrarily.
Described alarm rule module 4.2 is that to have type of alarm be to enter promptly to begin the alarm rule module of reporting to the police or/and stay the fixed time in warning region immediately in the warning region.
Described alarm rule module 4.2 is that to have type of alarm be that scene changes alarm rule and is arranged in whether there is object to remove or stay promptly to begin the alarm rule module of reporting to the police in the appointed area.
Described data memory module 3.2 is the data memory modules that just begun store video when the alarm rule that alarm rule module 4.2 is set after offending.
The method for supervising technical scheme of intelligent video monitoring system of the present invention, it comprises the steps:
A, system initialization: initialization success is laggard goes into next step, otherwise, carry out initialization once more;
B, alarm rule are read in: alarm rule is read in successfully, then enters next step, otherwise, proceed alarm rule and read in;
C, video analysis: video image is analyzed, unusual generation is arranged, then enter next step, otherwise, proceed video analysis;
D, Video processing: the information that unusual generation is arranged that the video analysis program is sent here is handled, being comprised: trigger alarm module, the storage abnormal data, and write alarm log; Described triggering alarm module is to trigger alarm module 3.4 backs to start alarm 2; Carry out video analysis once more after finishing Video processing.
Described video analysis program comprises:
A, monitor video obtain: monitoring camera in position is installed, to obtain the video flowing that helps handling most;
B, video preprocessor are handled: carry out preliminary treatment for the video flowing that obtains, comprise the removal noise, adjust frame per second and frame sign;
C, background modeling: set up rationally real background, so that obtain foreground target accurately;
D, foreground segmentation: utilize the background subtraction technology to obtain foreground target, eliminated for false prospect simultaneously;
E, shade are eliminated: utilize the direction of hsv color space law and shade to remove various shades;
F, target following: overcome problem such as block in the target following, follow the tracks of, write down its movement locus and the direction of motion for the multiple target in the scene;
The analysis of g, movement locus: according to the track of target and the setting of alarm rule, whether the movement locus of evaluating objects belongs to abnormal movement, if then trigger and report to the police;
H, target identification: foreground object is carried out discriminator, the kind of classification comprise the people or/and car or/and object.
Obvious technical effects of the present invention mainly shows:
1, analysis module (3.3) can detect accurately, the pursuit movement target also can discern simultaneously people, car, object and other type objects;
2, system only begins stored video data under the situation of alarm rule offence, and conserve storage so greatly also can provide the foundation that can inquire about after taking place for abnormal conditions simultaneously.
3, native system has the ability of behavior identification, and whether can monitor has object to remove situation about staying with object, can detect the situation of overspeed of vehicle in the specified scope.
4, native system can be provided with dissimilar alarm rule by PC terminal software 4, and these alarm rule are reliable comprehensively: 1, can be that scene changes, comprise that object is moved, hides unusual; 2, single warning line (through direction can be set), promptly object passes the defence line of appointment by assigned direction; 3, two warning lines (through direction can be set), promptly object passes two defence lines of appointment by assigned direction; 4, warning region, polygonal warning region arbitrarily promptly can be set, the type of reporting to the police can also be divided into entering warning region and stay the fixed time in warning region and begins alarm condition, and these rules can be a kind of or multiple different combinations wherein.
5, native system is selected the TMS320C6000 digital signal processor of American TI Company for use at the huge data volume of video flow processing, and suitably reduces the size of frame per second and frame processing stage of video preprocessor, guarantees the real-time of system from hardware and software.
6, situation about changing at monitoring scene has added the context update technology in implementation method, guarantee the correctness of reprocessing.
7, system has the shadow of object of inhibition, the reflective adverse effect that foreground detection is brought in ground, can also adapt to simultaneously has the occasions such as the water surface that leaf rocks, gleams of light are reflecting on waves in the river in the monitoring range, with general intelligent video monitoring system the wider scope of application and stronger adaptive capacity are arranged.
The present invention is further illustrated below in conjunction with drawings and Examples.
Description of drawings:
Fig. 1 is the connection block diagram of intelligent video monitoring system of the present invention.
Fig. 2 is the method for supervising flow chart of intelligent video monitoring system of the present invention.
Fig. 3 is a video analysis program flow diagram in the method for supervising of intelligent video monitoring system of the present invention.
Embodiment
Embodiment 1:
Be to be used for the antitheft intelligent video monitoring system of bank as shown in Figure 1.It is made up of shooting unit 1, alarm 2, control module 3, PC terminal software 4, and remote alarming device (reporting to the police from trend public security organ when detecting abnormal behaviour) can also be arranged; Wherein, shooting unit 1, alarm 2 (being loud speaker or light crossing-signal etc.) and PC terminal software 4 are connected with control module 3 respectively; Described control module 3 has central processing module 3.1, data memory module 3.2, analysis module 3.3, alarm module 3.4, video acquisition module 3.5, communication module 3.6 and network connector 3.7; Described data memory module 3.2, analysis module 3.3 and communication module 3.6 all with central processing module 3.1 two-way linking, alarm module 3.4 and central processing module 3.1 unidirectional linking; Video acquisition module 3.5 links by analysis module 3.3 and central processing module 3.1; Network connector 3.7 links by communication module 3.6 and central processing module 3.1, is used to provide the transmission of alarm rule and video data.Described PC terminal software 4 is made up of display module 4.1, alarm rule module 4.2 and alarm log module 4.3, links by TCP/IP and network connector 3.7; Described network connector 3.7 is selected from RJ-45.Described analysis module 3.3 is video content analysis program Solidification outside high-speed procedure memory within it to be used to detect the interior interested moving object of monitoring range and also to be followed the tracks of and discern, and result is transferred to central controller.Described analysis module 3.3 is selected from the TMS320C6000 digital signal processor of American TI Company.Described alarm rule module 4.2 is the alarm rule modules that have specific alarm rule, this alarm rule is user's a kind of or its combination according to the following several dissimilar alarm rule of its actual needs setting: 1). scene changes, and comprises that object is moved, hides unusual; 2). single warning line comprises through direction is set that promptly object passes the defence line of appointment by assigned direction; 3). two warning lines comprise through direction is set that promptly object passes two defence lines of appointment by assigned direction; 4). warning region promptly is provided with polygonal warning region arbitrarily.Described alarm rule module 4.2 is that to have type of alarm be to enter promptly to begin the alarm rule module of reporting to the police or/and stay the fixed time in warning region immediately in the warning region.Present embodiment is reported to the police for beginning immediately, also can be made as simultaneously to stay the fixed time promptly begin to report to the police in warning region.Described alarm rule module 4.2 can also elect that to have type of alarm be that scene changes alarm rule and is arranged in whether there is object to remove or stay promptly to begin the alarm rule module of reporting to the police in the appointed area as.Described data memory module 3.2 is the data memory modules that just begun store video when the alarm rule that alarm rule module 4.2 is set after offending.By the needs of bank, present embodiment specifically belongs to following setting: at standardized the virtual warning line in the national treasury doorway of bank, and the mode that warning line is reported to the police of passing through is set, sets its rule when personnel enter effectively not allowing in accordance with regulations; If there is the people to enter, native system will detect the generation of abnormal conditions automatically, also begins to store the video data in the abnormal time when triggering warning device; Consider that national treasury doorway background is more single, illumination condition is relatively more fixing or variation is slower, and the situation that moving target occurs is fewer, and the difficulty of carrying out video content analysis is less, wrong report and the probability of failing to report are very little, so system especially is useful for this scene; Compare with traditional video monitoring and to have initiatively and intelligent, the personnel that need not monitor directly stare at screen and store a large amount of hashes.This example also can be applicable to occasions such as state boundary, harbour, harbour.
The operation of intelligent video monitoring system of the present invention is: all insert video acquisition module 3.5 by shooting unit 1 resulting analog video signal and convert digital signal to, analysis module 3.3 adopts the computer vision treatment technologies to realize drawing corresponding result to motion target detection, tracking and identification and in conjunction with alarm rule, and whether central processing module 3.1 sends to alarm module 3.4 and data memory module 3.2 according to result and report to the police and whether begin the stored video data instruction; 3.6 of communication modules are that control module 3 realizes that with PC terminal software 4 alarm rule is set and the real-time Transmission of video by network connector 3.7 (RJ-45).
As Fig. 2, shown in Figure 3, be the method for supervising that is applicable to the invention described above intelligent video monitoring system: the following (see figure 2) of its step: A, system initialization: initialization success is laggard goes into next step, otherwise, carry out initialization once more; B, alarm rule are read in: alarm rule is read in successfully, then enters next step, otherwise, proceed alarm rule and read in; C, video analysis: video image is analyzed, unusual generation is arranged, then enter next step, otherwise, proceed video analysis; D, Video processing: the information that unusual generation is arranged that the video analysis program is sent here is handled, being comprised: trigger alarm module, the storage abnormal data is for future reference, and writes alarm log; Described triggering alarm module is to start alarm 2 after triggering alarm module 3.4.; Carry out video analysis once more after finishing Video processing.Described video analysis program by following step carry out (see figure 3): a, monitor video obtains: monitoring camera in position is installed, to obtain the video flowing that helps handling most; B, video preprocessor are handled: carry out preliminary treatment for the video flowing that obtains, comprise the removal noise, adjust frame per second and frame sign; C, background modeling: set up rationally real background, so that obtain foreground target accurately; D, foreground segmentation: utilize the background subtraction technology to obtain foreground target, eliminated for false prospect simultaneously; E, shade are eliminated: utilize the direction of hsv color space law and shade to remove various shades; F, target following: overcome problem such as block in the target following, follow the tracks of, write down its movement locus and the direction of motion for the multiple target in the scene; The analysis of g, movement locus: according to the track of target and the setting of alarm rule, whether the movement locus of evaluating objects belongs to abnormal movement, if then trigger and report to the police; H, target identification: foreground object is carried out discriminator, the kind of classification comprise the people or/and car or/and object be: people, or car, or object also can be their combinations, as people and Che, people and object, car and object; Object can also be other object that can respond to.
Embodiment 2:
This example is a kind of museum antitheft intelligent video monitoring system system and method for supervising of being used for, and different with the foregoing description 1 is: it is the characteristics setting by the museum.General museum is scattered in three big zones: surveillance zone (be generally stay in the warning region fixed time promptly begin to report to the police), guard plot (entering in the warning region instant or/and stay the fixed time promptly begin to report to the police in warning region) and forbidden zone (beginning warning when entering warning region).The forbidden zone is meant storehouse, safety cabinet, reparation chamber and other zone that does not allow the public to come in and go out of storage, the keeping objective of defense.We can be provided with polygonal region in the target (hanging the art work of watching for the tourist on such as wall) of needs protection it is covered: promptly begin to report to the police above staying the fixed time if there is the people to enter in the shielded art work security area, this exhibition section; being provided with the people simultaneously takes this art work away; then triggering alarm rule gives the alarm immediately; to reach the target of real time monitoring, satisfy this will being exposed to and prevent the particular application that it is stolen outward again.This example also can be applicable to the airport terrorist deliberately abandons article in the sensitizing range situation, has night the suspect to saunter outside bank and attempts to have the situation of improper behavior.
Embodiment 3:
This example is a kind of video monitoring system and method for supervising that is used for traffic monitoring, and different with the foregoing description 1,2 is: it is to be to realize vehicle flowrate in the traffic and the monitoring of driving in violation of rules and regulations.The monitoring of vehicle flowrate is achieved in that it is to judge traffic information by unit of account passes the virtual warning lines vehicle in the time quantity.The roughly flow process of handling: at first detect sport foreground (vehicle of motion), each vehicle followed the tracks of obtaining its physical centre position, the center pass warning line then counter add 1, the number in the last statistical unit time just can be learnt the size of vehicle flowrate.Can identify two kinds of situations that overspeed of vehicle and vehicle make a dash across the red light for driving in violation of rules and regulations native system.The realization of the monitoring of overspeed of vehicle: equally detected vehicle is followed the tracks of processing, in conjunction with the targeted message of video camera, calculate the movement of objects actual range of two interframe simultaneously, thereby the speed that obtains vehicle judges whether hypervelocity.The realization of the monitoring of making a dash across the red light: utilize two warning lines, two zebra stripes at the parting of the ways are provided with two virtual boundary lines respectively, in the time interval of red light, it is come into force, all vehicles in the monitoring range are followed the tracks of, then be considered as making a dash across the red light if there is vehicle when red light, to pass two warning lines simultaneously, because only passing through article one warning line might be the situation that vehicle is turned right, and this type of situation does not violate the traffic regulations.This example also can be applicable to government offices building, Olympic Games place, consulate etc.
Protection scope of the present invention is not limited to the foregoing description.
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2007
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