CN102186064A - Distributed video monitoring system and monitoring method - Google Patents

Distributed video monitoring system and monitoring method Download PDF

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Publication number
CN102186064A
CN102186064A CN 201110142767 CN201110142767A CN102186064A CN 102186064 A CN102186064 A CN 102186064A CN 201110142767 CN201110142767 CN 201110142767 CN 201110142767 A CN201110142767 A CN 201110142767A CN 102186064 A CN102186064 A CN 102186064A
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image
end server
moving target
priority
headend equipment
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CN102186064B (en
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高飞
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Wuxi Zhonggan Microelectronics Co Ltd
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Wuxi Vimicro Corp
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Abstract

The invention discloses a distributed video monitoring system. The distributed video monitoring system comprises a plurality of pieces of front-end equipment with priorities and at least one backend server. The front-end equipment acquires images, performs moving target detection on the images, selectively transmits the images in which moving targets are detected to a certain backend server if detecting the moving targets, and endows the images in which the moving targets are detected with the priorities the same as own priorities of the front-end equipment; and the backend server processes each image in which the moving targets are detected sequentially from the received images with higher priorities to the images with lower priorities. The invention simultaneously provides a video monitoring method applied to the distributed video monitoring system. In the distributed video monitoring system and the monitoring method, relatively higher efficiency can be achieved by adopting rationally matched front-end and backend equipment.

Description

Distributed video monitoring system and method for supervising
[technical field]
The present invention relates to technical field of video monitoring, particularly distributed video monitoring system and method for supervising.
[background technology]
Video monitoring system is the comparatively ripe and comparatively various system of utilization in the present society.For general video surveillance applications scene, such as warehouse, factory building etc., or in some periods such as nights, the situation that the scene picture appearance that camera monitored changes is less, and that is to say generally seldom has moving object to enter in these monitored spaces.Also have some application scenarioss that adopt static camera to monitor, the scene drawing also all is static generally.Generally speaking, the monitoring scene in some video monitoring systems can keep same picture for a long time and can not produce comparatively obvious variation.
For these video monitoring systems, be in when static at monitored picture, all there is in various degree waste in self computational resource and storage resources, such as, the CPU of camera was comparatively idle when monitored picture was static; The video image of the same monitored picture of storage is wasted hard drive space etc. continuously, promptly can't give full play to whole usefulness of each equipment in the video monitoring system.
Therefore, be necessary to propose a kind of new technical scheme and solve above-mentioned shortcoming.
[summary of the invention]
The purpose of this part is to summarize some aspects of embodiments of the invention and briefly introduces some preferred embodiments.In this part and the application's specification digest and denomination of invention, may do a little simplification or omit avoiding the making purpose of this part, specification digest and denomination of invention fuzzy, and this simplification or omit and can not be used to limit the scope of the invention.
One object of the present invention is to provide a kind of distributed video monitoring system, the complex calculation when utilizing at least one back-end server that is distributed on the network to carry out the video monitoring processing.
Another object of the present invention is to provide a kind of distributed video monitoring method, can be applied in the described distributed video monitoring system, improve the utilance of the software and hardware in the described video monitoring system.
In order to reach purpose of the present invention, according to an aspect of the present invention, the invention provides a kind of distributed video monitoring equipment, described distributed video monitoring equipment comprises: several comprise headend equipment and at least one back-end server of priority, described headend equipment images acquired is also carried out moving object detection to described image, when detecting moving target, the image that detects moving target is optionally sent to a certain back-end server, and give the described identical priority of self priority of image and described headend equipment that detects moving target; With described back-end server, the height order of priority that detects the image of moving target according to each that receives is handled successively to each image that detects moving target.
Further, described headend equipment comprises data memory module, image capture module, moving object detection module and task scheduling modules, and wherein data memory module is stored self priority and back-end server tabulation; Image capture module, images acquired; The moving object detection module detects whether there is moving target in the described image; And task scheduling modules, when detecting moving target, send the request processing signals successively according to described back-end server tabulation and with request the image that detects moving target is handled to each back-end server.
Further, when described headend equipment sends the request processing signals to back-end server according to described back-end server tabulation, send successively from small to large according to the size of the network delay between described headend equipment and each back-end server.
Further, described back-end server comprises signal response module and moving target processing module:
The signal response module receives described request processing signals and response, and when described moving target processing module was not handled image, the response idle signal was given the headend equipment of described transmission request processing signals; When described moving target processing module was being handled image, the priority of the image that response is being handled was given the headend equipment of described transmission request processing signals;
The moving target processing module is carried out the analyzing and processing of predetermined policy to described image according to the height order of the priority of the image that receives.
Further, described back-end server is handled successively each image that detects moving target and is comprised in identification of motion target tracking, moving target and the behavioral analysis of moving targets one or more.
Further, when front end equipment received the idle signal of a certain back-end server, the image that described headend equipment will detect moving target sent to this idle back-end server and handles.
Further, when front end equipment did not receive idle signal and receives the priority of the image that each back-end server handling: described headend equipment was judged the lowest priority that image that each back-end server is being handled has and the height of self priority, if self priority is higher than described lowest priority, then described headend equipment sends interrupt signal to the back-end server of handling the image with lowest priority, makes described back-end server interrupt original image processing and handles the image that detects moving target that described headend equipment sends; If self priority is less than or equal to described lowest priority, then described headend equipment sends the request storage signal to the back-end server of handling the image with lowest priority, the image that detects moving target that makes this back-end server store described headend equipment transmission is pending image, after waiting for processed the finishing of image handling, described back-end server is handled all pending images successively according to the priority order from high to low of all pending images of current storage again.
Further, when described headend equipment detects moving target and disappears, send invalid signals to the back-end server of handling or store the image that detects this moving target, when described back-end server receives described invalid signals,
If back-end server is being handled the image that comprises described moving target, then described back-end server interrupts comprising the treatment of picture of described moving target, and saves as the pending image of lowest priority,
Comprise the image of described moving target if back-end server also is untreated, the priority that then described back-end server is revised in the image that comprises described moving target is lowest priority.
The invention provides a kind of distributed video monitoring method, be applicable to that described distributed video monitoring method comprises in the distributed video monitoring system that comprises several headend equipments and at least one back-end server:
The headend equipment images acquired is also carried out moving object detection to described image, and wherein said headend equipment has preestablished self priority, and stores all back-end servers tabulations;
When described headend equipment detected moving target in described image, described headend equipment sent the request processing signals to each back-end server according to described back-end server tabulation;
If there is back-end server to be in idle condition, send the image that described headend equipment detects moving target and handle to this idle back-end server, the described image that detects moving target has the identical priority of self priority with described headend equipment;
If each back-end server is in busy condition, self priority of lowest priority that has in the image that each back-end server is being handled and the described headend equipment that sends the request processing signals compares;
If described self priority is higher than described lowest priority, the back-end server of then handling the image with described lowest priority interrupts original image processing and handles the described image that sends the headend equipment current detection of request processing signals to moving target;
If self priority is less than or equal to described lowest priority, then handling the described headend equipment current detection of sending the request processing signals of the back-end server storage of the image with described lowest priority is pending image to the image of moving target, after waiting for processed the finishing of image handling, described back-end server is handled all pending images successively according to the priority order from high to low of all pending images of current storage again.
Further, described back-end server comprises in motion target tracking, behavioral analysis of moving targets and the moving target identification one or more to treatment of picture.
Compared with prior art, distributed video monitoring system among the present invention adopts headend equipment to handle computings such as fairly simple IMAQ of computing and moving object detection, and computings such as the motion target tracking of employing back-end server processing computing more complicated and warning behavioural analysis, the usefulness that can make full use of each equipment by the hardware configuration and the quantity of reasonably combined headend equipment and back-end server.Distributed video monitoring method among the present invention then provides the more excellent method when headend equipment and back-end server carry out task scheduling between mutually, can improve usage ratio of equipment.
[description of drawings]
In conjunction with reaching ensuing detailed description with reference to the accompanying drawings, the present invention will be more readily understood, the structure member that wherein same Reference numeral is corresponding same, wherein:
Fig. 1 is a distributed video monitoring system of the present invention structural representation in one embodiment;
Fig. 2 is a headend equipment of the present invention block diagram in one embodiment;
Fig. 3 is a back-end server of the present invention block diagram in one embodiment; With
Fig. 4 is a distributed video monitoring method of the present invention method flow diagram in one embodiment.
[embodiment]
Detailed description of the present invention is mainly come the running of direct or indirect simulation technical solution of the present invention by program, step, logical block, process or other symbolistic descriptions.Be the thorough the present invention that understands, in ensuing description, stated a lot of specific detail.And when not having these specific detail, the present invention then may still can realize.Affiliated those of skill in the art use these descriptions herein and state that the others skilled in the art in affiliated field effectively introduce their work essence.In other words, be the purpose of the present invention of avoiding confusion, owing to method, program, composition and the circuit known are readily appreciated that, so they are not described in detail.
Alleged herein " embodiment " or " embodiment " are meant special characteristic, structure or the characteristic that can be contained at least one implementation of the present invention.Different in this manual local " in one embodiment " that occur not are all to refer to same embodiment, neither be independent or optionally mutually exclusive with other embodiment embodiment.In addition, represent the sequence of modules in method, flow chart or the functional block diagram of one or more embodiment and revocablely refer to any particular order, also be not construed as limiting the invention.
Described distributed video monitoring system can be implemented to become the part of a module, a system or a system by software, hardware and both combinations thereof.Described distributed video monitoring system can comprise the two large divisions, and several headend equipments and at least one back-end server can utilize IP network to finish transfer of data between described headend equipment and the described back-end server.Described headend equipment is used for handling the less computational processes of operand such as IMAQ and motion detection, and gives described back-end server with video Data Transmission after detecting moving target; Described back-end server is finished the more computational process of operand such as motion target tracking and warning behavioural analysis.Described like this headend equipment is lower to the requirement of hardware, and such processing procedure can be utilized less back-end server just can obtain and calculate effect preferably simultaneously.
Please refer to Fig. 1, it shows distributed video monitoring system 100 structural representation in one embodiment among the present invention.Described video monitoring system 100 comprises one or more headend equipments 120 and at least one back-end server 140, the quantity of described headend equipment 120 needs not be equal to the quantity of described back-end server 140, according to different embodiment, the quantity of described back-end server 140 can be less than the quantity of described headend equipment 120.
It is on-the-spot that described headend equipment 120 is arranged at monitoring, carries out IMAQ to monitoring the scene.Described headend equipment 120 can be the monitoring camera that has certain computing function, according to the characteristics of implementing environment, described headend equipment 120 can be a plurality of monitoring cameras that are installed in diverse location, when described headend equipment 120 when being a plurality of, in each headend equipment 120 according to having set a priority such as the factors such as importance of monitoring scene.Described headend equipment 120 images acquired are also carried out moving object detection to described image, and after detecting moving target, the described image that comprises moving target is optionally sent to some back-end servers 140 handling by IP network, and when sending, can give the described image and the identical priority of described headend equipment 120 self priority that detects moving target.According to different embodiment, described moving target may be people's face, human body, vehicle or animal or the like.
Described back-end server 140 can be arranged at remote monitoring center.Described back-end server 140 can be the server of the optional position that is connected with described headend equipment 120 by IP network.Described back-end server 140 carries out subsequent analysis to described moving target and handles behind the image that includes moving target that receives described headend equipment 120 transmission.Especially, when described back-end server 140 receives a lot of when including the image of moving target, need carry out subsequent analysis processing successively according to the priority orders in each image.The subsequent analysis that 140 pairs of described moving targets of described back-end server carry out is handled and is comprised that motion target tracking, behavioral analysis of moving targets and motion order information do not wait one or more in handling.Wherein, moving target identification can comprise recognition of face, human body identification and vehicle identification etc.Which kind of subsequent treatment 140 pairs of described images of described back-end server carry out not is what fix, and looking different embodiment may be different.
To sum up, described distributed video monitoring system 100 adopts headend equipment 120 to finish computational processes such as comparatively simple IMAQ of computing and moving object detection, and utilize back-end server 140 to finish the calculating of motion target tracking and this class computing more complicated of warning behavioural analysis, the feasible usefulness that can make full use of each equipment by the hardware configuration and the quantity of reasonably combined headend equipment 120 and back-end server 140 is to improve the efficient of equipment.Such as, can adopt the relatively low headend equipment of more computing capability, adopt the stronger back-end server of a few computing capability to implement to become a video monitoring system simultaneously.But it should be noted that, described headend equipment 120 may be a plurality of, described back-end server 140 also may be a plurality of, when described headend equipment 120 selects a certain back-end server 140 to carry out image processing, should improve the usefulness of each equipment according to the loading condition concrete analysis of network state and back-end server as far as possible.
The present invention for convenience of description hereinafter specifically describes each module in the described distributed video monitoring system by some embodiment.
Please refer to Fig. 2, it shows headend equipment 120 block diagram in one embodiment among the present invention.Described headend equipment 120 comprises data memory module 122, image capture module 124, moving object detection module 126 and task scheduling modules 128.
Described data memory module 122 stores self priority of described headend equipment 120 and the tabulation of all back-end servers.Self priority of described headend equipment 120 can preestablish, specifically decide by the situation of implementing environment, such as in the enforcement environment of a scientific research institution, self priority that is positioned at secret breadboard headend equipment 120 can be set at higher, and self priority that is positioned at the headend equipment 120 of front door can be set at lower.In one embodiment, also store the network delay situation between each back-end server 140 and the described headend equipment 120 during described back-end server is tabulated simultaneously.
Described image capture module 124 images acquired.Described image capture module 124 can be camera, sensitization CCD etc.Described image capture module 124 can adopt the camera of high-resolution, is the speed acquisition monitoring image of the camera of 1280*940 with frame each seconds 30 such as resolution.
126 pairs of described images of described moving object detection module detect to judge whether to exist moving target.Described moving object detection module 126 can also comprise background modeling unit and foreground extraction unit (be and illustrate).Described background modeling unit can carry out background modeling based on methods such as mixed Gauss model or Density Estimator, obtains the current background image then.Described foreground extraction unit can utilize the present image of collection and current background image poor, adopts connected domain analysis etc. to carry out moving object detection to the difference image that obtains.
After detecting moving target in the described moving object detection module 126, described task scheduling modules 128 sends the request processing signals to described back-end server according to described back-end server tabulation.In one embodiment, owing to store the network delay situation between each back-end server 140 and the described headend equipment 120 in the described back-end server tabulation, so described task scheduling modules 128 can be according to the network delay situation between each back-end server 140 and the described headend equipment 120, the order ascending according to network delay sends the request processing signals to each back-end server 140 successively.When described task scheduling modules 128 receives the idle signal of a certain back-end server 140 feedbacks, give the priority of corresponding with it headend equipment 120 with the image that detects moving target, and send to this idle back-end server 140 and handle.That is to say that the described image that detects moving target is when sending to back-end server 140 by headend equipment 120, it is corresponding that its priority and collection and transmission detect the priority of headend equipment 120 of image of moving target; The priority of described front-end server 120 is high more, and the priority of the image that it sends is also just high more.
Please continue with reference to figure 3, it shows back-end server 140 structural representation in one embodiment among the present invention.Described back-end server 140 comprises signal response module 142 and moving target processing module 144.
Described signal response module 142 receives the request processing signals and the response of each headend equipment.When described moving target processing module 144 is current when not handling image, the response idle signal is given the headend equipment 120 of current transmission request processing signals; When described moving target processing module 144 was being handled image, the priority of the image that response is being handled was given the headend equipment 120 of current transmission request processing signals.
Described moving target processing module 144 is carried out the analyzing and processing of predetermined policy successively to described image according to the height order of the priority of described image.Described predetermined policy can be whether motion target tracking, behavioral analysis of moving targets, moving target have triggered predetermined alarm rule, recognition of face and vehicle identification etc.Which kind of subsequent treatment 144 pairs of described images of described moving target processing module carry out not is what fix, and looking different embodiment may be different.
Further say, after described task scheduling modules 128 sends the request processing signals, might not receive the idle signal of feedback, when each back-end server 140 all is in busy condition, described task scheduling modules 128 can only receive the priority of the image that each back-end server 140 handling, at this moment, the priority of each image that described task scheduling modules 128 can obtain according to reception sorts the priority of the image that each back-end server 140 is being handled, pick out lowest priority wherein and judge described lowest priority and described task scheduling modules 128 under self priority of headend equipment between height
If self priority of the headend equipment under the described task scheduling modules 128 is higher than described lowest priority, then described task scheduling modules 128 sends interrupt signal to the back-end server 140 of handling the image with described lowest priority, makes this back-end server 140 interrupt original image processing and handle the image that detects moving target that the current headend equipment 120 that sends the described request processing signals is sent;
If self priority of the headend equipment under the described task scheduling modules 128 is lower than or equals described lowest priority, then described task scheduling modules 128 sends the request storage signal to the back-end server 140 of handling the image with described lowest priority, and making the image that detects moving target of the current transmission of the described headend equipment 120 of these back-end server 140 storages is pending image.After waiting for processed the finishing of image of present, described back-end server 140 continues to handle all pending images successively according to the priority order from high to low of all pending images of its current storage again.
Because described back-end server 140 might not in time be handled the image of described headend equipment 120, the priority of described image may be revised by described back-end server 140 according to actual conditions.In embodiment further, when described headend equipment 120 detects described moving target and disappears, can send invalid signals to the back-end server 140 of handling or store the image that comprises this moving target.When described back-end server 140 receives described invalid signals, if back-end server 140 is being handled the image that comprises this moving target, then described back-end server 140 interrupts comprising the treatment of picture of this moving target, and saves as the pending image of lowest priority; Comprise the image of this moving target if back-end server 140 also is untreated, the priority that then described back-end server is revised the image that comprises this moving target is lowest priority.
To sum up, can realize selecting more excellent processing mode by certain method for scheduling task between described headend equipment and the described back-end server according to network state and server load condition, for this reason, the present invention has also proposed a kind of distributed video monitoring method simultaneously.
Please refer to Fig. 4, it shows the method flow diagram of the distributed video monitoring method 400 in one embodiment of the present of invention.Described distributed video monitoring method 400 is applicable in the distributed video monitoring system that comprises several headend equipments and at least one back-end server, described headend equipment can be for there being the monitoring camera of certain computing capability, and described back-end server can be for having the Video processing server than strength reason ability.Described headend equipment can images acquired and described image is carried out moving object detection, and wherein said headend equipment has preestablished self priority, and stores all back-end servers tabulations.Described distributed video monitoring method 400 comprises:
Step 401, when described headend equipment detected moving target in described image, described headend equipment sent the request processing signals to each back-end server according to described back-end server tabulation;
If the back-end server of the request processing signals that receives is in idle condition, then carry out step 402:
Described back-end server sends idle signal to described headend equipment; And carry out step 404, and described headend equipment sends the image that detects moving target and handles to this idle back-end server, and the described image that detects moving target has the identical priority of self priority with described headend equipment;
If the back-end server of the request processing signals that receives is in busy condition, then carry out step 403:
The lowest priority that has in the image that described back-end server transmission is being handled is to the described headend equipment that sends the request processing signals.
The prioritization of the image that step 405, described headend equipment are being handled each back-end server, and find out wherein lowest priority;
Step 406, described headend equipment is judged the height of described lowest priority and self priority;
Step 407, if described self priority is higher than described lowest priority, the image that then described headend equipment sends interrupt signal and comprises moving target has the back-end server of the image of described lowest priority to processing, after this back-end server receives interrupt signal, interrupt original image processing and handle the described headend equipment current detection of request processing signals of sending to the image of moving target;
Step 408, if self priority is less than or equal to described lowest priority, then described headend equipment sends the image of asking storage assembly and comprising moving target has the image of described lowest priority to processing back-end server, the headend equipment current detection that the storage of this back-end server is described sends the request processing signals is pending image to the image of moving target, after waiting for processed the finishing of image handling, described back-end server is handled all pending images successively according to the priority order from high to low of all pending images of current storage again.
In step 401, when described headend equipment sends the described back-end server of request according to the back-end server tabulation, can send successively according to the size of the network delay between described headend equipment and the back-end server is ascending.In described distributed monitoring method 400, described back-end server comprises in motion target tracking, behavioral analysis of moving targets and the moving target identification one or more to treatment of picture.
In certain embodiments, because moving target may disappear in the image of described headend equipment collection, so whether the image that comprises moving target of the transmission of described headend equipment needs in time processing has ageing, when described headend equipment is detecting moving target and is losing, can also send invalid signals comprises the image of this moving target to processing back-end server, after described back-end server receives described invalid signals, if back-end server is being handled the image that comprises this moving target, then described back-end server interrupts comprising the treatment of picture of this moving target, and save as the pending image of lowest priority, comprise the image of this moving target if back-end server also is untreated, the priority that then described back-end server is revised the pending image that comprises this moving target is lowest priority.
For the content that discloses in detail herein, such as how according to the quantity of the operational capability of equipment and reasonably combined headend equipment of system's aggregate demand and back-end server, how after headend equipment receives an idle signal, other idle signal that receives will not be reacted.In other words, how after receiving several idle signals, headend equipment to select back-end server and other the suchlike detailed problem that one of them network condition is more excellent or disposal ability is more excellent, all be the easy full of beard of those skilled in the art and and solve, this paper is not tired stating one by one.
Above-mentioned explanation has fully disclosed the specific embodiment of the present invention.It is pointed out that any change that the technical staff that is familiar with described field does the specific embodiment of the present invention does not all break away from the scope of claims of the present invention.Correspondingly, the scope of claim of the present invention also is not limited only to described embodiment.

Claims (10)

1. distributed video monitoring equipment is characterized in that it comprises:
Several comprise headend equipment and at least one back-end server of priority,
Described headend equipment images acquired is also carried out moving object detection to described image, when detecting moving target, the image that detects moving target is optionally sent to a certain back-end server, and give the described identical priority of self priority of image and described headend equipment that detects moving target; With
Described back-end server, the height order of priority that detects the image of moving target according to each that receives is handled successively to each image that detects moving target.
2. distributed video monitoring equipment according to claim 1, described headend equipment comprise data memory module, image capture module, moving object detection module and task scheduling modules, wherein
Data memory module is stored self priority and back-end server tabulation;
Image capture module, images acquired;
The moving object detection module detects whether there is moving target in the described image; With
Task scheduling modules when detecting moving target, sends the request processing signals successively according to described back-end server tabulation and the image that detects moving target is handled with request to each back-end server.
3. distributed video monitoring equipment according to claim 2, when described headend equipment sends the request processing signals to back-end server according to described back-end server tabulation, send successively from small to large according to the size of the network delay between described headend equipment and each back-end server.
4. distributed video monitoring equipment according to claim 2, described back-end server comprise signal response module and moving target processing module:
The signal response module receives described request processing signals and response, and when described moving target processing module was not handled image, the response idle signal was given the headend equipment of described transmission request processing signals; When described moving target processing module was being handled image, the priority of the image that response is being handled was given the headend equipment of described transmission request processing signals;
The moving target processing module is carried out the analyzing and processing of predetermined policy to described image according to the height order of the priority of the image that receives.
5. according to claim 1 or 4 described distributed video monitoring equipment, described back-end server is handled successively each image that detects moving target and is comprised in motion target tracking, moving target identification and the behavioral analysis of moving targets one or more.
6. distributed video monitoring equipment according to claim 4, when front end equipment received the idle signal of a certain back-end server, the image that described headend equipment will detect moving target sent to this idle back-end server and handles.
7. according to claim 4 or 6 described distributed video monitoring equipment, when front end equipment does not receive idle signal and receives the priority of the image that each back-end server handling:
Described headend equipment is judged the lowest priority that image that each back-end server is being handled has and the height of self priority,
If self priority is higher than described lowest priority, then described headend equipment sends interrupt signal to the back-end server of handling the image with lowest priority, makes described back-end server interrupt original image processing and handles the image that detects moving target that described headend equipment sends;
If self priority is less than or equal to described lowest priority, then described headend equipment sends the request storage signal to the back-end server of handling the image with lowest priority, the image that detects moving target that makes this back-end server store described headend equipment transmission is pending image, after waiting for processed the finishing of image handling, described back-end server is handled all pending images successively according to the priority order from high to low of all pending images of current storage again.
8. distributed video monitoring equipment according to claim 7, when described headend equipment detects the moving target disappearance, send invalid signals to the back-end server of handling or store the image that detects this moving target, when described back-end server receives described invalid signals
If back-end server is being handled the image that detects described moving target, then described back-end server interrupts detecting the treatment of picture of described moving target, and saves as the pending image of lowest priority,
Detect the image of described moving target if back-end server also is untreated, the priority that then described back-end server is revised in the image that detects described moving target is lowest priority.
9. a distributed video monitoring method is applicable in the distributed video monitoring system that comprises several headend equipments and at least one back-end server, it is characterized in that it comprises:
The headend equipment images acquired is also carried out moving object detection to described image, and wherein said headend equipment has preestablished self priority, and stores all back-end servers tabulations;
When described headend equipment detected moving target in described image, described headend equipment sent the request processing signals to each back-end server according to described back-end server tabulation;
If there is back-end server to be in idle condition, send the image that described headend equipment detects moving target and handle to this idle back-end server, the described image that detects moving target has the identical priority of self priority with described headend equipment;
If each back-end server is in busy condition, self priority of lowest priority that has in the image that each back-end server is being handled and the described headend equipment that sends the request processing signals compares;
If described self priority is higher than described lowest priority, the back-end server of then handling the image with described lowest priority interrupts original image processing and handles the described image that sends the headend equipment current detection of request processing signals to moving target;
If self priority is less than or equal to described lowest priority, then handling the described headend equipment current detection of sending the request processing signals of the back-end server storage of the image with described lowest priority is pending image to the image of moving target, after waiting for processed the finishing of image handling, described back-end server is handled all pending images successively according to the priority order from high to low of all pending images of current storage again.
10. method according to claim 9 is characterized in that, described back-end server comprises in motion target tracking, behavioral analysis of moving targets and the moving target identification one or more to treatment of picture.
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Cited By (16)

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CN102868874A (en) * 2012-09-21 2013-01-09 浙江宇视科技有限公司 Intelligent analysis service migration method and device
CN103824574A (en) * 2014-02-25 2014-05-28 深圳市赛为智能股份有限公司 Video data storage method and system capable of supporting code stream switching
CN103987134A (en) * 2014-05-04 2014-08-13 西南技术物理研究所 Distributed wireless monitoring front end equipment
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CN104333732A (en) * 2014-10-15 2015-02-04 广东中星电子有限公司 Distributed video analysis method and system thereof
CN104935871A (en) * 2014-03-19 2015-09-23 北京信威通信技术股份有限公司 Video return method in video dispatching
CN105227914A (en) * 2015-09-25 2016-01-06 北京奇虎科技有限公司 Based on recognition methods, the Apparatus and system of the biological information of Cloud Server
CN107154973A (en) * 2017-05-08 2017-09-12 成都汇智远景科技有限公司 Distributed disease detection method
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CN110162512A (en) * 2019-05-05 2019-08-23 中国银行股份有限公司 A kind of log searching method, apparatus and storage medium
CN110413696A (en) * 2019-08-02 2019-11-05 中国工商银行股份有限公司 A kind of data processing method and device
CN110691197A (en) * 2019-11-04 2020-01-14 上海摩象网络科技有限公司 Shooting tracking method and device and electronic equipment
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CN102325251A (en) * 2011-10-19 2012-01-18 杭州华三通信技术有限公司 Video monitoring and playback service realization methods and equipment
CN102868874B (en) * 2012-09-21 2016-02-03 浙江宇视科技有限公司 A kind of intellectual analysis business migration method and device
CN102868874A (en) * 2012-09-21 2013-01-09 浙江宇视科技有限公司 Intelligent analysis service migration method and device
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CN104243901A (en) * 2013-06-21 2014-12-24 中兴通讯股份有限公司 Multi-target tracking method based on intelligent video analysis platform and system of multi-target tracking method
CN103824574B (en) * 2014-02-25 2017-01-25 深圳市赛为智能股份有限公司 Video data storage method and system capable of supporting code stream switching
CN103824574A (en) * 2014-02-25 2014-05-28 深圳市赛为智能股份有限公司 Video data storage method and system capable of supporting code stream switching
CN104935871A (en) * 2014-03-19 2015-09-23 北京信威通信技术股份有限公司 Video return method in video dispatching
CN103987134A (en) * 2014-05-04 2014-08-13 西南技术物理研究所 Distributed wireless monitoring front end equipment
CN104333732A (en) * 2014-10-15 2015-02-04 广东中星电子有限公司 Distributed video analysis method and system thereof
CN104333732B (en) * 2014-10-15 2017-11-07 广东中星电子有限公司 A kind of distributed video analysis method and system
CN105227914A (en) * 2015-09-25 2016-01-06 北京奇虎科技有限公司 Based on recognition methods, the Apparatus and system of the biological information of Cloud Server
CN107959812A (en) * 2016-10-18 2018-04-24 杭州萤石网络有限公司 Storage method, device, system and the routing device of monitoring data
CN107154973A (en) * 2017-05-08 2017-09-12 成都汇智远景科技有限公司 Distributed disease detection method
CN110162512A (en) * 2019-05-05 2019-08-23 中国银行股份有限公司 A kind of log searching method, apparatus and storage medium
CN110413696A (en) * 2019-08-02 2019-11-05 中国工商银行股份有限公司 A kind of data processing method and device
CN110691197A (en) * 2019-11-04 2020-01-14 上海摩象网络科技有限公司 Shooting tracking method and device and electronic equipment
CN111402288A (en) * 2020-03-26 2020-07-10 杭州博雅鸿图视频技术有限公司 Target detection tracking method and device
CN113536878A (en) * 2020-04-14 2021-10-22 杭州海康威视数字技术股份有限公司 Intelligent analysis system and method
CN113536878B (en) * 2020-04-14 2024-03-08 杭州海康威视数字技术股份有限公司 Intelligent analysis system and method
CN112333539A (en) * 2020-10-21 2021-02-05 清华大学 Video real-time target detection method, terminal and server under mobile communication network

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