CN103338349A - Intelligent mass video signal screening and display access method based on VW and system based on VW - Google Patents
Intelligent mass video signal screening and display access method based on VW and system based on VW Download PDFInfo
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Abstract
The invention provides an intelligent mass video signal screening and display access method based on VW and an intelligent mass video signal screening and display access system based on VW. The intelligent mass video signal screening and display access method comprises steps that: a plurality of paths of video signals are received and stored; analysis on each path of video signals is carried out according to a preset analysis mode for each path of video signals, whether each path of video signals have an abnormal event or not is determined according to an analysis result, if yes, abnormal event messages are generated, each abnormal event message is respectively added to a pre-established event message queue according to different types of abnormal events, ordering for the abnormal events in each event message queue is carried out according to preset event filtering rules and preset event priority rules, and display access to video signals of a selected predetermined path is carry out according to an ordering result. According to the intelligent mass video signal screening and display access method and the intelligent mass video signal screening and display access system based on VW, automatic access to the video signals which need focus and processing most is carried out when video data is massive, the method and the system facilitate to master conditions on site of an emergent event at first time, and correct decision and disposition can be timely carried out.
Description
Technical field
The present invention relates to display splicing wall field, particularly relate to a kind of magnanimity vision signal intelligent screening based on VW and show cut-in method and a kind of magnanimity vision signal intelligent screening and demonstration connecting system based on VW.
Background technology
Along with the continuous propelling that wisdom city, safe city, intelligent transportation etc. are built, the scope of video surveillance applications and scale constantly enlarge.At present, in the large-scale video surveillance network, vision signal has reached the scale of magnanimity (referring generally to more than several thousand tunnel), and this numeral is also in continuous growth.For the ease of disposing and commander, a lot of local emergency command control centres have all disposed high-resolution VW (Video Wall, display splicing wall).
The video window that the display splicing wall can show simultaneously is limited, therefore it is the highest or have tens tunnel vision signals of accident to insert command scheduling center display splicing wall to choose degree of concern can only be from the hundreds of road to several ten thousand road monitor video signals, so how select from massive video data and need most the vision signal of paying close attention to and handling, this is a difficult problem.Present solution is by manually selecting switching.Yet, owing to can not predict where emergency to take place in advance, so can only be after event takes place, just to rely on manually the monitor video signal with the relevant range to insert the display splicing wall, this caused grasping the accident field condition in the very first time, affect the opportunity of making correct decisions and deployment adversely, and manually thousands of roads vision signal is switched and inserted, efficient is very low, makes mistakes easily.
Summary of the invention
Based on this, be necessary at above-mentioned the multitude of video signal to be carried out manual switching and inserts the inefficiency that causes and the problem that can not grasp the accident field condition in the very first time, a kind of magnanimity vision signal intelligent screening based on VW be provided and show cut-in method and system.
For achieving the above object, the present invention adopts following technical scheme:
A kind of magnanimity vision signal intelligent screening and demonstration cut-in method based on VW may further comprise the steps:
Receive some roads vision signal and store;
According to walking abreast by the predefined analytical model of each road vision signal each road vision signal is analyzed, and judged according to analysis result whether each road vision signal has anomalous event to take place;
If, then generate the anomalous event message be associated with described anomalous event, and with each anomalous event message join at different anomalous event types in the event message queue of foundation in advance;
According to predefined event filtering rule and Event Priority rule the anomalous event in each event message queue is sorted, and select the vision signal of predetermined way to show access according to ranking results.
A kind of magnanimity vision signal intelligent screening and demonstration connecting system based on VW comprise:
Data reception module is used for receiving some roads vision signal and storing;
Judge module is used for according to walking abreast by the predefined analytical model of each road vision signal each road vision signal being analyzed, and has judged whether that according to analysis result anomalous event takes place;
Message generates and adds module, the judged result that is used at described judge module is under the situation that is, generate the anomalous event message be associated with described anomalous event, and with each anomalous event message join at different anomalous event types in the event message queue of foundation in advance;
Show access module, be used for sorting according to predefined event filtering rule and the Event Priority rule anomalous event to each event message queue, and select the vision signal of predetermined way to show access according to ranking results.
By above scheme as can be seen, a kind of magnanimity vision signal intelligent screening and demonstration cut-in method and system based on VW of the present invention, after receiving the magnanimity vision signal, walk abreast according to predefined analytical model each road vision signal is analyzed, when judgement has anomalous event to take place, anomalous event under the analytical model that the user is concerned about is most made processed, thereby what make access as far as possible is the current vision signal of paying close attention to and handling that needs most, be conducive to the field condition of very first time grasp accident and in time make correct decisions and deployment, and efficiently solve the problem that monitor staff in the conventional method needs manual switching and inserts the inefficiency that the multitude of video signal causes, have better market application.
Description of drawings
Fig. 1 is a kind of based on the magnanimity vision signal intelligent screening of VW and the schematic flow sheet of demonstration cut-in method in the embodiment of the invention;
Fig. 2 is a kind of based on the magnanimity vision signal intelligent screening of VW and the structural representation of demonstration connecting system in the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment, technical scheme of the present invention is further described.
Referring to shown in Figure 1, a kind of magnanimity vision signal intelligent screening and demonstration cut-in method based on VW may further comprise the steps:
Step S101 receives some roads vision signal and stores, and enters step S102 then.
As an embodiment preferably, step S101 specifically can comprise as follows: adopt the cloud framework to receive some roads vision signal and store.The cloud framework is made up of server cluster and management server, and the number of servers of server cluster can increase according to vision signal quantity to be processed.Every station server all comprises several video signal input interface, and interface is responsible for receiving the vision signal of outside input and being stored on the local storage of server.Just because of this, but adopt the cloud framework of flexible expansion that mass data storage is provided in the present embodiment, guaranteeing the flexible deployment of scheme, to the vision signal way of input without limits.
Step S102 analyzes each road vision signal according to walking abreast by the predefined analytical model of each road vision signal, and has judged whether that according to analysis result anomalous event takes place, if then enter step S103, then returns step S101 if not.
As an embodiment preferably, described predefined analytical model specifically can include, but is not limited to following several: intrusion detection analytical model, traffic violations analytical model, car plate discriminance analysis pattern etc.
Intrusion detection refers to find out moving object in the video by moving object detection, according to predefined safety zone, judges whether moving object enters the safety zone, if enter, then belongs to abnormal conditions;
Traffic violations refer to find out moving object in the video by moving object detection, according to predefined normal travel direction, judge whether moving object consistent with normal travel direction, and if on the contrary explanation have and drive in the wrong direction in violation of rules and regulations, then belong to abnormal conditions;
Car plate identification refers to by detecting the position of the vehicle license plate in the video literal in the car plate and digital profile be extracted, and adopts literal and number on the character recognition output car plate.
In the present embodiment after receiving magnanimity vision signal input, can walk abreast multi-channel video is analyzed, and each analysis channel carries out video content analysis according to the analytical model that sets in advance and calculates, as carries out intrusion detection, traffic violations, car plate identification etc. and analyze calculating.By artificial setting analytical model, select different parsers according to different application scenarioss, can be used for various application occasions, increased the flexibility of system.
Need to prove, along with going deep into of artificial intelligence and computer vision field research, at present can be by video content have been carried out the generation that some abnormal conditions is found in pattern analysis.For example present someone begins to use the intelligent video analysis technology to realize the Intelligent Measurement of some anomalous events and processing automatically at safety-security area.
Step S103 if judge have anomalous event to take place among the step S102, then generates the anomalous event message that is associated with described anomalous event, and with each anomalous event message join at different anomalous event types in the event message queue of foundation in advance.
Anomalous event enters event message queue with the form of message in the embodiment of the invention, and has set up different event message queue for different anomalous event types.According to user's setting, can the event message of whole event messages or certain several types be reported by message-oriented middleware.As an embodiment preferably, can comprise following information in each anomalous event message: predefined serious grade, event type, original video sign of being associated etc.
Step S104 sorts to the anomalous event in each event message queue according to predefined event filtering rule and Event Priority rule, and selects the vision signal of predetermined way to show access according to ranking results.As the anomalous event that afterwards priority is the highest of can selecting in the present embodiment to sort (the highest grade this event of namely representing is to need most the anomalous event of paying close attention to and handling), and the vision signal that will be associated with this anomalous event access display splicing wall shows.
Need to prove that the user can carry out flexible configuration to described event filtering rule and Event Priority rule according to different needs, to be applicable to different application scenarioss.
Corresponding with above-mentioned a kind of magnanimity vision signal intelligent screening and demonstration cut-in method based on VW, the present invention also provides a kind of magnanimity vision signal intelligent screening based on VW and shows connecting system, as shown in Figure 2, comprising:
Message generates and adds module 103, the judged result that is used at described judge module is under the situation that is, generate the anomalous event message be associated with described anomalous event, and with each anomalous event message join at different anomalous event types in the event message queue of foundation in advance;
Show access module 104, be used for sorting according to predefined event filtering rule and the Event Priority rule anomalous event to each event message queue, and select the vision signal of predetermined way to show access according to ranking results.
As an embodiment preferably, described data reception module can adopt the cloud framework to receive some roads vision signal and store.The cloud framework is made up of server cluster and management server, and the number of servers of server cluster can increase according to vision signal quantity to be processed.Every station server all comprises several video signal input interface, and interface is responsible for receiving the vision signal of outside input and being stored on the local storage of server.Just because of this, but adopt the cloud framework of flexible expansion that mass data storage is provided in the present embodiment, guaranteeing the flexible deployment of scheme, to the vision signal way of input without limits.
As an embodiment preferably, can comprise following information in the described anomalous event message: predefined serious grade, event type, original video sign of being associated etc.
As an embodiment preferably, described predefined analytical model can include, but is not limited to: intrusion detection analytical model, traffic violations analytical model, car plate discriminance analysis pattern etc.Need to prove, along with going deep into of artificial intelligence and computer vision field research, at present can be by video content have been carried out the generation that some abnormal conditions is found in pattern analysis.
Above-mentioned a kind of magnanimity vision signal intelligent screening based on VW is identical with the demonstration cut-in method with a kind of magnanimity vision signal intelligent screening based on VW of the present invention with other technical characterictic that shows connecting system, will not give unnecessary details herein.
By above scheme as can be seen, a kind of magnanimity vision signal intelligent screening and demonstration cut-in method and system based on VW of the present invention, after receiving the magnanimity vision signal, walk abreast according to predefined analytical model each road vision signal is analyzed, when judgement has anomalous event to take place, anomalous event under the analytical model that the user is concerned about is most made processed, thereby what make access as far as possible is the current vision signal of paying close attention to and handling that needs most, be conducive to the field condition of very first time grasp accident and in time make correct decisions and deployment, and efficiently solve the problem that monitor staff in the conventional method needs manual switching and inserts the inefficiency that the multitude of video signal causes, have better market application.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (8)
1. magnanimity vision signal intelligent screening and demonstration cut-in method based on a VW is characterized in that, may further comprise the steps:
Receive some roads vision signal and store;
According to walking abreast by the predefined analytical model of each road vision signal each road vision signal is analyzed, and judged according to analysis result whether each road vision signal has anomalous event to take place;
If, then generate the anomalous event message be associated with described anomalous event, and with each anomalous event message join at different anomalous event types in the event message queue of foundation in advance;
According to predefined event filtering rule and Event Priority rule the anomalous event in each event message queue is sorted, and select the vision signal of predetermined way to show access according to ranking results.
According to claim 1 based on VW magnanimity vision signal intelligent screening and show cut-in method, it is characterized in that described reception some roads vision signal and the process of storing comprise: adopt the cloud framework to receive some roads vision signal and store.
According to claim 1 based on VW magnanimity vision signal intelligent screening and show cut-in method, it is characterized in that, comprise following information in the described anomalous event message: predefined serious grade, event type, the original video sign that is associated.
4. according to claim 1-3 any described magnanimity vision signal intelligent screening and a demonstration cut-in method based on VW, it is characterized in that described predefined analytical model comprises: intrusion detection analytical model, traffic violations analytical model, car plate discriminance analysis pattern.
5. magnanimity vision signal intelligent screening and demonstration connecting system based on a VW is characterized in that, comprising:
Data reception module is used for receiving some roads vision signal and storing;
Judge module is used for according to walking abreast by the predefined analytical model of each road vision signal each road vision signal being analyzed, and has judged whether that according to analysis result anomalous event takes place;
Message generates and adds module, the judged result that is used at described judge module is under the situation that is, generate the anomalous event message be associated with described anomalous event, and with each anomalous event message join at different anomalous event types in the event message queue of foundation in advance;
Show access module, be used for sorting according to predefined event filtering rule and the Event Priority rule anomalous event to each event message queue, and select the vision signal of predetermined way to show access according to ranking results.
6. magnanimity vision signal intelligent screening and demonstration connecting system based on VW according to claim 5 is characterized in that described data reception module adopts the cloud framework to receive some roads vision signal and stores.
According to claim 5 based on VW magnanimity vision signal intelligent screening and show connecting system, it is characterized in that, comprise following information in the described anomalous event message: predefined serious grade, event type, the original video sign that is associated.
8. according to claim 5-7 any described magnanimity vision signal intelligent screening and a demonstration connecting system based on VW, it is characterized in that described predefined analytical model comprises: intrusion detection analytical model, traffic violations analytical model, car plate discriminance analysis pattern.
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| CN106598518A (en) * | 2016-12-08 | 2017-04-26 | 广东威创视讯科技股份有限公司 | Windowing method and apparatus for spliced screen |
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Application publication date: 20131002 |