CN103402079A - VW (Video Wall)-based intelligent tracking, storing and displaying method for abnormal events - Google Patents
VW (Video Wall)-based intelligent tracking, storing and displaying method for abnormal events Download PDFInfo
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- CN103402079A CN103402079A CN2013103280118A CN201310328011A CN103402079A CN 103402079 A CN103402079 A CN 103402079A CN 2013103280118 A CN2013103280118 A CN 2013103280118A CN 201310328011 A CN201310328011 A CN 201310328011A CN 103402079 A CN103402079 A CN 103402079A
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Abstract
The invention relates to the technical field of tiled display and particularly discloses a VW (Video Wall)-based intelligent tracking, storing and displaying method for abnormal events. According to the method, an intelligent video analysis technology and geographic position distribution information on monitoring cameras are combined, and abnormal situations occurred in massive video signals required to be monitored by a monitoring center are automatically subjected to whole-process tracking analysis, unified storage and whole-process access display from beginning to end, so that the information processing island problem that whole processes of the abnormal situations cannot be subjected to automatic monitoring, recording and displaying caused by the fact that monitored signals of various channels are independent of one another is solved effectively. The method disclosed by the invention has the advantages that the whole-process storage and display for the abnormal events can be realized, the whole process, from beginning to end, of a whole abnormal situation can be stored in a complete file, the condition that the same abnormal event is searched for in multiple files of a video storage system is avoided, and whole processes of whole events can be automatically switched and accessed to a VW, so that the tracking display for the whole processes of the abnormal situations is realized.
Description
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Technical field
The present invention relates to the tiled display technical field, more specifically, relate to a kind of intelligence of anomalous event based on VW (Video Wall, display splicing wall) and follow the trail of the storage display packing.
Background technology
Along with the development of urbanization, in order effectively to supervise traffic and the security condition in whole city, Zai Ge key area, a lot of city has all been disposed a large amount of monitoring cameras and has been realized round-the-clock monitoring in 24 hours.At traffic and security monitoring center, by express network Jiang Ge road monitor video signal access Surveillance center, at high-resolution display splicing wall, multiple signals are carried out to real time monitoring, when the supervision personnel find and judge in some signal while abnormal conditions occurring, then by manually the vision signal at scene access display splicing wall being carried out to the command and arrangement processing.The efficiency of manual monitoring and Switch Video signal is very low, progress along with artificial intelligence and computing technique, Video content analysis technique starts for the automatic analysis of video and processing, by the intelligent video analysis algorithm, the various anomalous events in monitor video can be detected.
Although the use of intelligent video analysis and high-resolution display splicing wall has improved the efficiency of video monitoring, but the processing for each road monitor video signal is all relatively independent, result can not be automatically interrelated, can't realize to abnormal conditions from the beginning to the end from motion tracking, storage and show.For example, the monitoring camera in the some zones in the supervision of the cities network detects and traffic accident occurs, if vehicle is escaped, through after a while, on other regional monitoring camera, will inevitably again photograph vehicle.Present monitoring and display system can not be automatically interrelated by all monitor video signals that photograph abnormal conditions, unified storage and demonstration, after all monitor videos can only being processed respectively, manually search all videos relevant to anomalous event, such processing mode speed is very slow, and efficiency is very low.
Summary of the invention
The present invention proposes a kind of intelligence of anomalous event based on VW tracing system, adopt the intelligent video analysis technology, geographic information data in conjunction with monitoring camera, realization detects automatically to the abnormal conditions that occur in video monitoring, omnidistance intelligent-tracking, omnidistance unified video recording storage and demonstration, greatly improve monitoring efficiency.
To achieve these goals, technical scheme of the present invention is:
A kind of intelligence of anomalous event based on VW is followed the trail of the storage display packing, comprising:
S1. obtain the magnanimity vision signal, adopt video analysis parallel processing platform to carry out analytical calculation to vision signal, detect the monitoring camera that occurs abnormal conditions in the magnanimity vision signal; The vision signal that the monitoring camera that abnormal conditions occur is taken stores in video file, and vision signal is accessed to the demonstration of display splicing wall;
S2. centered by the monitoring camera that abnormal conditions occur, according to the location distribution information of monitoring camera, by all pilot signals access video analysis parallel processing platforms that occur in the minimum ring of encirclement of monitoring camera of abnormal conditions;
S3. video analysis parallel processing platform carries out video content analysis to all pilot signals of access, the monitoring camera of the appearance abnormal conditions that the abnormal conditions whether detection exists monitoring camera corresponding to step S1 to take are associated; When detection existed, the vision signal that the monitoring camera that detects is taken stored in corresponding video file, vision signal is accessed to the display splicing wall and show, and jump to step S2; Otherwise tracing process finishes, and stops the storage of abnormal conditions overall process and shows.
Method provided by the invention can be disposed flexibly according to practical application, according to application, different intelligent video analysis algorithms is set, can realizes traffic accident, traffic violations are violating the regulations, loss prevention is antitheft, the tracking of unexpected abnormality event in the various applications such as public safety.
Compared with prior art, the beneficial effect of technical solution of the present invention is: method provided by the invention uses intelligent video analysis technology and monitoring camera location distribution information to combine, automatically the abnormal conditions that occur in the magnanimity vision signal that need to monitor Surveillance center are carried out cephalocaudal overall process follow-up analysis, unified storage and overall process access show, effectively solve each road pilot signal separate, can't carry out automatic monitoring to the abnormal conditions overall process, record and the information processing isolated island problem that shows.Method provided by the invention can realize the storage of anomalous event overall process and show, whole abnormal conditions can be stored in a complete file from the overall process that occurs to end, avoid searching same anomalous event in a plurality of files of Video Storage System, the overall process of whole event can automatically switch and be linked into the display splicing wall, realizes the track of the whole process of abnormal conditions is shown.
The accompanying drawing explanation
Fig. 1 is the concrete flow chart of data processing figure that implements of the present invention.
Fig. 2 is that in the present invention, the camera based on geographical position is selected schematic diagram.
Fig. 3 is the functional block diagram of a kind of intelligence of anomalous event based on VW of the present invention tracing system.
Embodiment
the object of the invention is to solve between the monitor video signal of display splicing Qiang Ge road, control and command center separate, can't carry out whole-process automatic tracking to the whole generating process of abnormal conditions, storage and demonstration, cause information processing isolated island problem, adopt the intelligent video analysis technology, utilize geographic information data automatic screening and the maximally related one group of vision signal of abnormal situation of monitoring camera and carry out video content analysis, according to last analysis result automatic screening and maximally related next the group vision signal carry out video content analysis of abnormal situation, repeat this process, realization is followed the trail of the overall process of whole abnormal conditions, storage and demonstration.
As shown in Figure 1, the specific implementation process that adopts the present invention to start the trace exception situation is:
Input magnanimity vision signal, video analysis parallel processing platform is from selecting to occur that the vision signal of abnormal conditions is as input signal the magnanimity video, when the accurate anomalous event that a certain monitoring camera A is occurred is followed the trail of, the original anomaly event information is preserved, as the contrast reference of same event.The video record file B of this anomalous event is recorded in establishment, and the vision signal that this anomalous event is associated accesses the display splicing wall system.
To occur photographing centered by the camera of abnormal conditions video, according to the location distribution information of camera A, by all pilot signals access video analysis parallel processing platforms that occur in the minimum ring of encirclement of monitoring camera A of abnormal conditions; This ring of encirclement is the ring of encirclement that in Fig. 2, solid line and camera form.On video analysis parallel processing platform for various anomalous video signal setting video analysis patterns, adopt video analysis parallel processing platform according to the pattern that arranges, to carry out intellectual analysis to all cameras in the minimum ring of encirclement of current camera, and the vision signal of the vision signal that will detect and monitoring camera A shooting is compared, determine whether as the same event that is mutually related, such as the vehicle license plate number that occurs is jack per line etc.
Not same when the anomalous event that detects, follow the trail of and finish; Same when the anomalous event that detects, the video information that new camera is photographed stores in video record file B, and the vision signal access display splicing wall system by this anomalous event is associated, show after last vision signal.Using and photograph same anomalous event camera as center, and according to the location distribution information of new camera, by all pilot signals access video analysis parallel processing platforms that occur in the minimum ring of encirclement of monitoring camera of abnormal conditions; Comparison again, determine to continue to follow the trail of or stop following the trail of.
In concrete implementation procedure, the overall process of a certain anomalous event is kept to one independently in video file, facilitate the follow-up extraction to this anomalous event to check.
General, video analysis parallel processing platform is from selecting the video of a plurality of abnormal events the magnanimity vision signal, wherein each video camera that correspondence is different is respectively taken, video analysis parallel processing platform is incited somebody to action different anomalous events respectively separately as a passage, to each anomalous event analyzing and processing arranged side by side.
Overall process tracing process for a certain anomalous event is as follows:
When the anomalous event that 1) occurs for a certain monitoring camera is followed the trail of, the original anomaly event information is preserved, as the contrast reference of same event.Create simultaneously the video record file that records this anomalous event, the vision signal that this anomalous event is associated accesses the display splicing wall system.
2) according to 1) in the geographical location information of monitoring camera, calculating can cover the directive minimum ring of encirclement around this camera.
3) all cameras in the minimum ring of encirclement of current camera are carried out to intelligent video analysis, and the anomalous event that will detect and 1) the original anomaly event contrast in, be confirmed whether as inter-related same event, such as the vehicle license plate number that occurs is jack per line etc.
4) if the same event that is associated with the original anomaly event detected in a certain road camera in the minimum ring of encirclement, so that this road camera is corresponding vision signal writes 1) the middle video file that creates, and access display splicing wall system.Simultaneously using this road camera as new camera, repeat 2), 3), 4) processing procedure.
5) if the same event that is associated with the original anomaly event all do not detected in all cameras in the minimum ring of encirclement, tracing process finishes, and Saves and Closes the video record file of this anomalous event, waits for that new trace flow starts.
Obviously, the above embodiment of the present invention is only for example of the present invention clearly is described, and is not the restriction to embodiments of the present invention.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here exhaustive without also giving all execution modes.All any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in the protection range of the claims in the present invention.
Claims (4)
1. the intelligence of the anomalous event based on VW is followed the trail of the storage display packing, it is characterized in that, comprising:
S1. obtain the magnanimity vision signal, adopt video analysis parallel processing platform to carry out analytical calculation to vision signal, detect the monitoring camera that occurs abnormal conditions in the magnanimity vision signal; The vision signal that the monitoring camera that abnormal conditions occur is taken stores in video file, and vision signal is accessed to the demonstration of display splicing wall;
S2. centered by the monitoring camera that abnormal conditions occur, according to the location distribution information of monitoring camera, by all pilot signals access video analysis parallel processing platforms that occur in the minimum ring of encirclement of monitoring camera of abnormal conditions;
S3. video analysis parallel processing platform carries out video content analysis to all pilot signals of access, the monitoring camera of the appearance abnormal conditions that the abnormal conditions whether detection exists monitoring camera corresponding to step S1 to take are associated; When detection existed, the vision signal that the monitoring camera that detects is taken stored in corresponding video file, vision signal is accessed to the display splicing wall and show, and jump to step S2; Otherwise tracing process finishes, and stops the storage of abnormal conditions overall process and shows.
2. the intelligence of the anomalous event based on VW according to claim 1 is followed the trail of the storage display packing, it is characterized in that, but described video analysis parallel processing platform adopts the cloud framework of flexible expansion that parallel parsing and the calculating of magnanimity vision signal are provided.
3. the intelligence of the anomalous event based on VW according to claim 1 and 2 is followed the trail of the storage display packing, it is characterized in that, the minimum ring of encirclement of the monitoring camera of the appearance abnormal conditions in described step S2 refers to the minimum ring of encirclement that can cover institute's directive camera formation around the monitoring camera that abnormal conditions occur.
4. the intelligence of the anomalous event based on VW according to claim 3 is followed the trail of the storage display packing, it is characterized in that, described step S3 video analysis parallel processing platform also needs to arrange the analytical model of video before video content is analyzed.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104660969A (en) * | 2013-11-22 | 2015-05-27 | 上海宝康电子控制工程有限公司 | System and method for achieving high-definition intelligent toll-gate management based on GIS map and video |
| CN105812726A (en) * | 2016-03-07 | 2016-07-27 | 广东威创视讯科技股份有限公司 | Splicing wall system-based signal monitoring method and system |
| CN106791612A (en) * | 2016-12-01 | 2017-05-31 | 广东威创视讯科技股份有限公司 | The image display method at master control end, system and monitor video display system |
| CN107396054A (en) * | 2017-08-21 | 2017-11-24 | 中国人民公安大学 | A kind of display methods of monitor video |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008098188A2 (en) * | 2007-02-08 | 2008-08-14 | Behavioral Recognition Systems, Inc. | Behavioral recognition system |
| CN101848377A (en) * | 2010-05-26 | 2010-09-29 | 苏州安杰瑞电子科技发展有限公司 | Device and method for intelligent linkage of multi-video recording device based on cloud computing and mass video searching |
| CN101867793A (en) * | 2010-05-14 | 2010-10-20 | 蔡晓东 | Distribution type intelligent video searching system and using method |
| CN102663778A (en) * | 2012-04-26 | 2012-09-12 | 安科智慧城市技术（中国）有限公司 | Target tracking method and system based on multi-view video |
-
2013
- 2013-07-31 CN CN2013103280118A patent/CN103402079A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008098188A2 (en) * | 2007-02-08 | 2008-08-14 | Behavioral Recognition Systems, Inc. | Behavioral recognition system |
| CN101867793A (en) * | 2010-05-14 | 2010-10-20 | 蔡晓东 | Distribution type intelligent video searching system and using method |
| CN101848377A (en) * | 2010-05-26 | 2010-09-29 | 苏州安杰瑞电子科技发展有限公司 | Device and method for intelligent linkage of multi-video recording device based on cloud computing and mass video searching |
| CN102663778A (en) * | 2012-04-26 | 2012-09-12 | 安科智慧城市技术（中国）有限公司 | Target tracking method and system based on multi-view video |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104660969A (en) * | 2013-11-22 | 2015-05-27 | 上海宝康电子控制工程有限公司 | System and method for achieving high-definition intelligent toll-gate management based on GIS map and video |
| CN105812726A (en) * | 2016-03-07 | 2016-07-27 | 广东威创视讯科技股份有限公司 | Splicing wall system-based signal monitoring method and system |
| CN105812726B (en) * | 2016-03-07 | 2019-01-29 | 广东威创视讯科技股份有限公司 | Signal monitoring method and system based on joined screen system |
| CN106791612A (en) * | 2016-12-01 | 2017-05-31 | 广东威创视讯科技股份有限公司 | The image display method at master control end, system and monitor video display system |
| CN106791612B (en) * | 2016-12-01 | 2020-04-03 | 广东威创视讯科技股份有限公司 | Video display method and system of master control end and monitoring video display system |
| CN107396054A (en) * | 2017-08-21 | 2017-11-24 | 中国人民公安大学 | A kind of display methods of monitor video |
| CN107396054B (en) * | 2017-08-21 | 2020-04-28 | 中国人民公安大学 | Display method of monitoring video |
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Application publication date: 20131120 |