CN105208343A - Intelligent monitoring system and method capable of being used for video monitoring device - Google Patents
Intelligent monitoring system and method capable of being used for video monitoring device Download PDFInfo
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Abstract
The invention discloses an intelligent monitoring system capable of being used for a video monitoring device. The intelligent monitoring system comprises an intelligent analysis subsystem and a linkage alarm subsystem. The intelligent analysis subsystem comprises a moving target detecting module, a moving target tracking module, a target behavior analysis module, a moving target classification module and an abnormity detecting module. The linkage alarm subsystem comprises a preview alarm module, a log storage module, a video storage module, an icon display module and a mail sending module. The invention further discloses an intelligent monitoring method capable of being used for the video monitoring device.
Description
Technical field
The invention belongs to environmental safety monitor and control field, be specifically related to a kind of intelligent monitor system and the method that can be used for video monitoring equipment.
Background technology
Along with the progress of technology and the raising of people's security protection consciousness, watch-dog is more and more universal, and current a lot of supervisory control system is all need artificial monitoring.Owing to being artificial monitoring, attentiveness can not concentrate in the moment and can not be round-the-clock etc. problem all highlighted gradually, quality monitoring can not be guaranteed.Simultaneously with the increase of watch-dog system, artificial monitoring cost also can be very high.The intellectuality of supervisory control system has become a kind of urgent demand and inevitable trend.
Summary of the invention
The object of the present invention is to provide a kind of intelligent monitor system and the method that can be used for video monitoring equipment, replace artificially monitoring, improve the intelligence degree of supervisory control system.
In order to achieve the above object, the present invention adopts following technical scheme:
Can be used for the intelligent monitor system of video monitoring equipment, comprise intellectual analysis subsystem and interlink warning subsystem:
Intellectual analysis subsystem comprises moving object detection module, motion target tracking module, goal behavior analysis module, moving object classification module and abnormality detection module:
Moving object detection module, for carrying out modeling to the image scene obtained, detects the moving target in various scene;
Motion target tracking module, by the information similarity between comparison diagram picture frame and frame, realizes the of short duration tracking to moving target, utilizes the tracking of circulation realization to moving target of of short duration tracking;
Whether goal behavior analysis module, for analyzing the trace information of moving target, reaching the motor behavior of setting threshold to moving target according to the trace information data of moving target and analyzing;
Moving object classification module, the area information of the object classifiers good in conjunction with training in advance and moving target region, classifies to moving target;
Abnormality detection module, for detecting the various video anomalies occurred because of external disturbance or Equipment in monitor video;
Described interlink warning subsystem comprises preview alarm module, daily record memory module, video recording memory module, icon display module and mail sending module:
Preview alarm module, when in described intellectual analysis subsystem, the analysis result of arbitrary module triggers interlink warning subsystem, preview alarm module is by the target of trigger alarm, in preview interface by square frame or other shapes by the choosing of target frame and display, and trigger daily record memory module or video recording memory module or icon display module or mail sending module;
Daily record memory module, saves as daily record by warning message;
Video recording memory module, records a video to present image and preserves;
Icon display module, for display alarm icon and alarm range on current monitor picture;
Mail sending module, carries out grabgraf to the monitoring image of trigger alarm, and grabbed picture is sent to subscriber mailbox in the mode of mail.
The one that can be used for the intelligent monitor system of video monitoring equipment as the present invention is improved, interlink warning subsystem also comprises buzzing alarm module, when the intellectual analysis result of present image triggers interlink warning subsystem, preview alarm module triggers buzzing alarm module, and buzzer carries out buzzing warning.
Can be used for the intelligent control method of video monitoring equipment, comprise the following steps:
S1, obtain video flowing from DVR, NVR, IPC or other watch-dogs, whether the information similarity degree between contrast video flowing frame and frame, reach threshold value according to the information gap between frame and frame, judge whether video flowing abnormal conditions occurs; Abnormal conditions are fed back to the plate end of watch-dog;
S2, the video image of acquisition is carried out modeling, the image of present image and background model is contrasted frame by frame, classify as background area image with the difference of background model image lower than the part of setting threshold in present image, the part reaching setting threshold in present image with the difference of background model image classifies as foreground region image; Filtering and Morphological scale-space are carried out to foreground region image, removes the Noise and Interference in foreground region image, determine moving target;
S3, contrast the correlation of moving target characteristic information frame by frame, what correlation reached threshold value is considered to same moving target, to the tracking of moving target between achieve frame like this and frame; Utilize between frame and frame and the tracking that moving target is formed constantly is circulated, realize the tracking to moving target;
S4, the boundary information that the trace information of moving target and user are arranged to be contrasted, judge whether moving target crosses setting border; Whether reach threshold value according to the disorderly degree of the track of moving target, judge whether moving target is in motion of hovering; Whether the aggregation extent according to moving target reaches threshold value, judges whether moving target is in coherent condition; Analyze the trace information of moving target and texture information corresponding to moving target, judge whether to exist the loss of article or leave over;
S5, area information in conjunction with the good object classifiers of training in advance and moving target region, carry out multiple dimensioned slip scan and detect, classify to moving target in the region at moving target place;
S6, when above-mentioned arbitrary step analysis result trigger interlink warning subsystem time, preview alarm module is by the target of trigger alarm, in preview interface by square frame or other shapes by the choosing of target frame and display, and trigger daily record memory module or video recording memory module or icon display module or mail sending module; Daily record memory module, saves as daily record by warning message; Video recording memory module, records a video to present image and preserves; Icon display module, display alarm icon and alarm range on current monitor picture; Mail sending module, carries out grabgraf to trigger scenario image, and grabbed picture is sent to subscriber mailbox in the mode of mail.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and when the intellectual analysis result of present image triggers interlink warning subsystem, preview alarm module triggers buzzing alarm module, and buzzer carries out buzzing warning.Can notify that the people of surrounding reaches the effect of safety precaution in time.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and before the information similarity degree between contrast video flowing frame and frame, carries out format conversion, noise reduction and convergent-divergent to each frame data of the video flowing obtained.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, the information similarity degree between contrast video flowing frame and frame, and the information contrasted comprises the histogram information of image, color information, texture information and half-tone information.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and the video image of acquisition being carried out modeling modeling method used is gauss hybrid models modeling method.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and carries out morphological image process and filtering process before obtaining the characteristic information of moving target to foreground region image.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and the characteristic information of described moving target comprises texture and color.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and utilizing can predicted motion target position in the future and the of short duration tracking optimized between two frames to the tracking history of moving target.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, in the training in advance of object classifiers, collect all kinds of subject image and form positive sample, collect surrounding environment image and form negative sample, extract the characteristic information of the histograms of oriented gradients of positive negative sample, utilize binary tree structure to carry out Weak Classifier training.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and in the training in advance of described object classifiers, utilizes adaboost algorithm to carry out strong classifier training.
The one that can be used for the intelligent control method of video monitoring equipment as the present invention is improved, and the trace information of described moving target comprises positional information and directional information.Utilize the direction of motion information of track, apply to some and only allow unidirectional motion object scene, as highway, utilize the velocity information of track, can be used for determining whether there be running of people's exception in environment.
Limited relative to monitoring period in conventional art, quality monitoring is unstable, the artificial monitoring of labor intensive, intelligent monitor system provided by the invention and method can round-the-clockly be monitored video in real time; Intellectualizing system replaces artificial monitoring, improves quality monitoring, saves the cost of hiring monitor staff; Monitored results can send message timely to user, the search to event after the video recording of intellectual analysis warning simultaneously can facilitate, and reduces video storage requisite space.
Accompanying drawing explanation
Fig. 1 is the structured flowchart that the present invention can be used for the intelligent monitor system of video monitoring equipment.
Fig. 2 is the schematic flow sheet that the present invention can be used for the intelligent control method of video monitoring equipment.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.Different intelligent algorithms is needed to different intelligent monitored control modules; also there is multiple method to same intelligent monitoring type simultaneously; and the mode specifically to implement different watch-dogs is different; therefore an intelligent control method is only listed for the various piece of intelligent monitoring here; the present invention includes but be not limited to the method enumerated herein, all should be considered as belonging to protection scope of the present invention in the simple transformation done on creative work basis as those of ordinary skill.
Embodiment 1
As shown in Figure 1, can be used for the intelligent monitor system of video monitoring equipment, comprise intellectual analysis subsystem and interlink warning subsystem:
Intellectual analysis subsystem comprises moving object detection module, motion target tracking module, goal behavior analysis module, moving object classification module and abnormality detection module; Interlink warning subsystem comprises preview alarm module, daily record memory module, video recording memory module, icon display module, mail sending module and buzzing alarm module.When in intellectual analysis subsystem, the analysis result of arbitrary module triggers interlink warning subsystem, preview alarm module triggers daily record memory module or video recording memory module or icon display module or mail sending module or buzzing alarm module.
Embodiment 2
As shown in Figure 2, can be used for the intelligent control method of video monitoring equipment, comprise following steps:
S1, obtain video flowing from DVR, NVR, IPC or other watch-dogs, the operations such as format conversion, noise reduction, convergent-divergent are carried out to each frame data of the video flowing obtained, the simultaneously histogram information of computed image, color information, texture information and half-tone information etc., information similarity degree between contrast video flowing frame and frame, whether reach threshold value according to the information gap between frame and frame, judge whether video flowing abnormal conditions occurs; Abnormal conditions are fed back to the plate end of watch-dog
S2, the video image of acquisition is carried out gauss hybrid models modeling, the image of present image and background model is contrasted frame by frame, classify as background area image with the difference of background model image lower than the part of setting threshold in present image, the part reaching setting threshold in present image with the difference of background model image classifies as foreground region image; Filtering and Morphological scale-space are carried out to foreground region image, removes the Noise and Interference in foreground region image, determine moving target;
S3, by characteristic information foreground region image being carried out to morphological image process, filtering process and connected component labeling obtain moving target in present image, characteristic information comprises texture and color etc.; Contrast the correlation of moving target characteristic information frame by frame, what correlation reached threshold value is considered to same moving target, to the tracking of moving target between achieve frame like this and frame; Utilize between frame and frame and the tracking that moving target is formed constantly is circulated, realize the tracking to moving target; Utilizing can predicted motion target position in the future and the of short duration tracking optimized between two frames to the tracking history of moving target;
S4, the boundary information that the trace information of moving target and user are arranged to be contrasted, judge whether moving target crosses setting border; Whether reach threshold value according to the disorderly degree of the track of moving target, judge whether moving target is in motion of hovering; Whether the aggregation extent according to moving target reaches threshold value, judges whether moving target is in coherent condition; Analyze the trace information of moving target and texture information corresponding to moving target, judge whether to exist the loss of article or leave over; The trace information of moving target comprises position and direction;
S5, collect all kinds of subject image and form positive sample, collect surrounding environment image and form negative sample; Extract the characteristic information of the histograms of oriented gradients of positive negative sample, utilize binary tree structure to carry out Weak Classifier training; Adaboost algorithm is utilized to carry out strong classifier training; The strong classifier utilizing cascade cascade to be formed above forms final object classifiers; The area information of combining target grader and moving target region, carries out multiple dimensioned slip scan and detects, classify to moving target in the region at moving target place;
S6, when above-mentioned arbitrary step analysis result trigger interlink warning subsystem time, preview alarm module is by the target of trigger alarm, in preview interface by square frame or other shapes by the choosing of target frame and display, and trigger daily record memory module or video recording memory module or icon display module or mail sending module or buzzing alarm module; Daily record memory module, saves as daily record by warning message; Video recording memory module, records a video to present image and preserves; Icon display module, display alarm icon and alarm range on current monitor picture; Mail sending module, carries out grabgraf to trigger scenario image, and grabbed picture is sent to subscriber mailbox in the mode of mail; Buzzing alarm module, carries out buzzing warning.
Claims (10)
1. can be used for the intelligent monitor system of video monitoring equipment, it is characterized in that, comprise intellectual analysis subsystem and interlink warning subsystem:
Described intellectual analysis subsystem comprises moving object detection module, motion target tracking module, goal behavior analysis module, moving object classification module and abnormality detection module:
Moving object detection module, for carrying out modeling to the image scene obtained, detects the moving target in various scene;
Motion target tracking module, by the information similarity between comparison diagram picture frame and frame, realizes the of short duration tracking to moving target, utilizes the tracking of circulation realization to moving target of of short duration tracking;
Whether goal behavior analysis module, for analyzing the trace information of moving target, reaching the motor behavior of setting threshold to moving target according to the trace information data of moving target and analyzing;
Moving object classification module, the area information of the object classifiers good in conjunction with training in advance and moving target region, classifies to moving target;
Abnormality detection module, for detecting the various video anomalies occurred because of external disturbance or Equipment in monitor video;
Described interlink warning subsystem comprises preview alarm module, daily record memory module, video recording memory module, icon display module and mail sending module:
Preview alarm module, when in described intellectual analysis subsystem, the analysis result of arbitrary module triggers interlink warning subsystem, preview alarm module is by the target of trigger alarm, in preview interface by square frame or other shapes by the choosing of target frame and display, and trigger daily record memory module or video recording memory module or icon display module or mail sending module;
Daily record memory module, saves as daily record by warning message;
Video recording memory module, records a video to present image and preserves;
Icon display module, for display alarm icon and alarm range on current monitor picture;
Mail sending module, carries out grabgraf to the monitoring image of trigger alarm, and grabbed picture is sent to subscriber mailbox in the mode of mail.
2. intelligent monitor system as claimed in claim 1, it is characterized in that, described interlink warning subsystem also comprises buzzing alarm module, when the intellectual analysis result of present image triggers interlink warning subsystem, preview alarm module triggers buzzing alarm module, and buzzer carries out buzzing warning.
3. can be used for the intelligent control method of video monitoring equipment, it is characterized in that, comprise the following steps:
S1, from watch-dog obtain video flowing, contrast video flowing frame and frame between information similarity degree, whether reach threshold value according to the information gap between frame and frame, judge whether video flowing abnormal conditions occurs; Abnormal conditions are fed back to the plate end of watch-dog;
S2, the video image of acquisition is carried out modeling, the image of present image and background model is contrasted frame by frame, classify as background area image with the difference of background model image lower than the part of setting threshold in present image, the part reaching setting threshold in present image with the difference of background model image classifies as foreground region image; Filtering and Morphological scale-space are carried out to foreground region image, removes the Noise and Interference in foreground region image, determine moving target;
S3, obtain the characteristic information of moving target, contrast the correlation of moving target characteristic information frame by frame, what correlation reached threshold value is considered to same moving target, to the tracking of moving target between achieve frame like this and frame; Utilize between frame and frame and the tracking that moving target is formed constantly is circulated, realize the tracking to moving target;
S4, the boundary information that the trace information of moving target and user are arranged to be contrasted, judge whether moving target crosses setting border; Whether reach threshold value according to the disorderly degree of the track of moving target, judge whether moving target is in motion of hovering; Whether the aggregation extent according to moving target reaches threshold value, judges whether moving target is in coherent condition; Analyze the trace information of moving target and texture information corresponding to moving target, judge whether to exist the loss of article or leave over;
S5, area information in conjunction with the good object classifiers of training in advance and moving target region, carry out multiple dimensioned slip scan and detect, classify to moving target in the region at moving target place;
S6, when above-mentioned arbitrary step analysis result trigger interlink warning subsystem time, preview alarm module is by the target of trigger alarm, in preview interface by square frame or other shapes by the choosing of target frame and display, and trigger daily record memory module or video recording memory module or icon display module or mail sending module; Daily record memory module, saves as daily record by warning message; Video recording memory module, records a video to present image and preserves; Icon display module, display alarm icon and alarm range on current monitor picture; Mail sending module, carries out grabgraf to trigger scenario image, and grabbed picture is sent to subscriber mailbox in the mode of mail.
4. can be used for the intelligent control method of video monitoring equipment as claimed in claim 3, it is characterized in that, when the intellectual analysis result of present image triggers interlink warning subsystem, preview alarm module triggers buzzing alarm module, and buzzer carries out buzzing warning.
5. can be used for the intelligent control method of video monitoring equipment as claimed in claim 3, it is characterized in that, before the information similarity degree between contrast video flowing frame and frame, format conversion, noise reduction and convergent-divergent are carried out to each frame data of the video flowing obtained.
6. can be used for the intelligent control method of video monitoring equipment as claimed in claim 3, it is characterized in that, information similarity degree between contrast video flowing frame and frame, the information contrasted comprises the histogram information of image, color information, texture information and half-tone information.
7. can be used for the intelligent control method of video monitoring equipment as claimed in claim 3, it is characterized in that, the video image of acquisition being carried out modeling modeling method used is gauss hybrid models modeling method.
8. can be used for the intelligent control method of video monitoring equipment as claimed in claim 3, it is characterized in that, before obtaining the characteristic information of moving target, morphological image process and filtering process are carried out to foreground region image.
9. can be used for the intelligent control method of video monitoring equipment as claimed in claim 3, it is characterized in that, the characteristic information of described moving target comprises texture and color.
10. can be used for the intelligent control method of video monitoring equipment as claimed in claim 3, it is characterized in that, the trace information of described moving target comprises positional information and directional information.
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| CN111242984A (en) * | 2020-02-13 | 2020-06-05 | 珠海安联锐视科技股份有限公司 | Target tracking method based on moving head camera |
| CN111242984B (en) * | 2020-02-13 | 2021-01-19 | 珠海安联锐视科技股份有限公司 | Target tracking method based on moving head camera |
| CN113194357A (en) * | 2021-01-25 | 2021-07-30 | 妙微(杭州)科技有限公司 | Moving target detection method and system |
| CN115499584A (en) * | 2022-09-02 | 2022-12-20 | 四川新视创伟超高清科技有限公司 | Dynamic capturing method for monitored object |
| CN116631133A (en) * | 2023-07-21 | 2023-08-22 | 邹城市美安电子科技有限公司 | Intelligent video monitoring system based on behavior recognition |
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