CN104079866B - Video monitoring data communication front-end equipment and video monitoring data front end processing method - Google Patents
Video monitoring data communication front-end equipment and video monitoring data front end processing method Download PDFInfo
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Abstract
According to the present invention, propose a kind of be connected at least one monitoring camera and the video monitoring data communication front-end equipment by least one communication network and monitoring center into row data communication, wherein, at least one monitoring camera shoots each region to be monitored to acquire video monitoring data, and the video monitoring data communication front-end equipment includes：Receiving unit is received by least one collected video monitoring data of monitoring camera；Analytic unit carries out video analysis to obtain and the relevant video analysis result of the generation of the critical event in each region to received video monitoring data；And transmitting element, according to the bandwidth status of the communication network currently connected, at least one of received video monitoring data and video analysis result are selectively sent to the monitoring center.
Description
Technical field
The present invention relates to field of video monitoring, more particularly, to a kind of video monitoring data communication front-end equipment and regard
Frequency monitoring data front end processing method, can according to the ability of the communication network connected, selectively by video monitoring data and
At least one of video analysis result is sent to monitoring center, and can be with being arranged on other video monitorings of network front end
Data Frontend processing equipment exchanges data and convenient for passing through management and monitoring terminal-pair current video monitoring data front end by user
It manages equipment and carries out local management and configuration.
Background technology
In current intelligent city, video monitoring and intelligent recognition and analysis have had increasingly important role.
In many fields such as social safety and social infrastructure scheduling of resource, it is required for video is acquired and monitored.With
This is simultaneously as the big data and ambiguity of video, the intelligent recognition of video and analysis are also increasingly paid attention to.Video
Intelligent recognition can effectively find the critical event in current or history video, and event is aggregated, for user
It monitored, searched for and effective scheduling of social infrastructure resource based on this.
The video identification and analysis of intelligence are to expend very much the function of computing resource.In large scale system, if supervising
The identification and analysis (as shown in Figure 2) that control center is concentrated, need a considerable amount of server (not shown) to be deployed in monitoring
Center, investment and the cost safeguarded are very big.In large scale system, if disposing front-end server in the front end of video monitoring
(as shown in Figure 1), since the application scenarios in intelligent city are intricate (such as public transport or subway environment), live space,
The conditions discomfort hop server such as load-bearing, power supply, network and temperature dust is disposed.At the same time, in intelligent city's environment,
The content that camera is monitored in many scenes is often relatively simple, and the event type occurred also compares fixation, so needing
It is also relatively fixed to carry out algorithm used in video analysis.Therefore, in many scenes, without using all videos point
Analyse algorithm, it is only necessary to use necessary video analysis algorithm.
In previous work, PCT international applications WO2012/056477A2 describes a kind of remote monitoring system.Wherein
Utilize different sensors and the environment at electronic equipment monitoring scene.This electronic equipment can acquire video, and can pass through
Multiple network carries out transmission of video.However, the equipment can not carry out effective flow matches, while this sets according to the situation of network
The standby function of not having targetedly intelligent video analysis.
In addition, in Chinese patent application CN101420533A, a kind of embedded system and associated is described
Video background detection method.The equipment is the embedded device based on FPGA, and can carry out the detection point of video background
Analysis.However, the equipment does not have the function of any network module and relevant flow matches, and the system is excessively complicated, can not
Support the application of the environmental monitoring of low cost.
Invention content
In order to which the drawbacks described above for overcoming the prior art proposes the present invention.It is therefore an object of the present invention to it proposes to be related to one
Kind video monitoring data communication front-end equipment and video monitoring data front end processing method, can be according to the communication network connected
At least one of video monitoring data and video analysis result are selectively sent to monitoring center, and can by ability
Data are exchanged with other video monitoring data communication front-end equipments for being arranged on network front end and convenient for being supervised by user by managing
Control terminal is managed and is configured to current video monitoring data communication front-end equipment.
To achieve these goals, according to the invention it is proposed that a kind of be connected and pass through at least one monitoring camera
At least one communication network and monitoring center into row data communication video monitoring data communication front-end equipment, wherein, it is described at least
One monitoring camera shoots each region to be monitored to acquire video monitoring data, the video monitoring data front end
Processing equipment includes：Receiving unit is received by least one collected video monitoring data of monitoring camera；Analysis is single
Member carries out video analysis to obtain the generation phase with the critical event in each region to received video monitoring data
The video analysis result of pass；And transmitting element, according to the bandwidth status of the communication network currently connected, will selectively be received
To video monitoring data and at least one of video analysis result be sent to the monitoring center.
Preferably, if the available bandwidth of the communication network currently connected is less than first threshold, the transmitting element only will
Video analysis result is sent to monitoring center；If the available bandwidth of the communication network currently connected be greater than or equal to first threshold and
Less than or equal to second threshold, then key video sequence of the transmitting element involved by by video analysis result and video analysis result
Monitoring data is sent to monitoring center, and wherein second threshold is more than first threshold；And if the communication network currently connected can
It is wider than second threshold with band, then the transmitting element is by video analysis result and all video monitoring numbers for being received and stored
According to being sent to monitoring center.
Preferably, the video monitoring data communication front-end equipment is embedded device.
Preferably, between the video monitoring data communication front-end equipment and at least one communication network inserted with preceding
Hold server.
Preferably, the video monitoring data communication front-end equipment can be carried out local access, pipe by management and monitoring terminal
Reason and configuration.
Preferably, the receiving unit also receive from be subordinated to this video monitoring data communication front-end equipment other regard
The video monitoring data of frequency monitoring data communication front-end equipment and video analysis result；The analytic unit passes through described to coming from
The video analysis result of other video monitoring data communication front-end equipments and this video monitoring data communication front-end equipment itself
Video analysis result is combined to form final video analysis result；The transmitting element is according to the communication network currently connected
Bandwidth status will be selectively come from other described video monitoring data communication front-end equipments and this video monitoring data front end
It manages at least one of the video monitoring data of equipment and described final video analysis result and is sent to the monitoring center.
Preferably, the video monitoring data communication front-end equipment and at least one monitoring camera are loaded into movement
On body.
In addition, according to the present invention, it is also proposed that a kind of to be connected at least one monitoring camera and by least one logical
Believe net and monitoring center into the video monitoring data front-end processing in the video monitoring data communication front-end equipment of row data communication
Method, wherein, at least one monitoring camera shoots to acquire video monitoring data each region to be monitored, institute
Video monitoring data front end processing method is stated to include：It receives by least one collected video monitoring number of monitoring camera
According to the step of；Video analysis is carried out to received video monitoring data to obtain and the critical event in each region
The step of relevant video analysis result occurs；And the bandwidth status according to the communication network currently connected, selectively by institute
The step of at least one of the video monitoring data received and video analysis result are sent to the monitoring center.
Video monitoring data communication front-end equipment and video monitoring data front end processing method according to the present invention, Neng Gougen
According to the ability of the communication network connected, selectively at least one of video monitoring data and video analysis result are sent to
Monitoring center, and data can be exchanged with being arranged on other video monitoring data communication front-end equipments of network front end and be convenient for
Local management and configuration are carried out by management and monitoring terminal-pair current video monitoring data communication front-end equipment by user.
Description of the drawings
By reference to following combination attached drawing to the detailed description of used preferred embodiment, above-mentioned mesh of the invention
, advantages and features will become more apparent from, wherein：
Fig. 1 is the schematic diagram for the network architecture one for showing existing intelligent monitor system.
Fig. 2 is the schematic diagram for showing existing common or intelligent monitor system the network architecture two.
Fig. 3 is the schematic diagram for the network architecture one for showing the video monitoring data communication front-end equipment using the present invention.
Fig. 4 is the schematic diagram for the network architecture two for showing the video monitoring data communication front-end equipment using the present invention.
Fig. 5 is to show the schematic diagram that the internal logic of embedded smart machine is formed.
Fig. 6 is the typical internal flow shown when the embedded smart machine of list according to embodiments of the present invention works independently
Figure.
Fig. 7 is when showing multi-embedding smart machine cooperation according to embodiments of the present invention, and embedded device is operated in master
The figure of internal process during pattern.
Fig. 8 is the sequence diagram for showing the signaling process between each capital equipment of the present invention.
Fig. 9 is the schematic diagram for showing the typical case scene of the present invention.
Specific embodiment
Fig. 1 is the network architecture one of existing intelligent monitor system.In a kind of system architecture of current intelligent monitor system
In, it can at least include multiple monitoring cameras 1 and multiple front-end servers 2 in system front end.Wherein each 2 meeting of front-end server
Support multiple monitoring cameras 1 simultaneously.According to the difference of the function for the intelligent video analysis supported, each front-end server 2
The number of monitoring camera 1 supported is different.Front-end server 2 passes through in dedicated network or internet 3 and monitoring
The heart 4 interacts.Whole system is managed in monitoring center 4, has storage center 5 in its back-end, is store here all
Monitor video.Monitor terminal 7 can be monitored work at monitoring center 4 or is remotely logged into monitoring by network 3
The heart 4 is monitored work.
Fig. 2 is existing common or intelligent monitor system the network architecture two.In current another intelligent monitor system
In system architecture, it can at least include multiple monitoring cameras 1 in system front end, multi-channel video is passed through into dedicated network or interconnection
Net 3 is transmitted to monitoring center 4.It can choose whether to carry out intelligent video analysis in monitoring center 4.Storage is equally had in its back-end
Center 5 stores all monitor videos here.Monitor terminal 7 can be monitored work or be passed through at monitoring center 4
Network 3 is remotely logged into monitoring center 4 and is monitored work.Unlike system architecture shown in FIG. 1, this framework is not
Including front-end server 2.Although this mode can save many front-end servers, if monitoring center 4 will carry out intelligence
If energy video analysis and search, the resource and search delay of required consuming can be than system architecture biggers shown in FIG. 1.
The embodiment of the present invention is described in detail below in conjunction with attached drawing.
Fig. 3 is the schematic diagram for the network architecture one for showing the video monitoring data communication front-end equipment using the present invention.
The system architecture of Fig. 1 have lower deployment cost it is high, to the bad adaptability of application environment, flexibility is poor the deficiencies of.Therefore, for Fig. 1's
The application scenarios present invention proposes new system architecture.In Fig. 3, introducing a kind of insertion smart machine 8 of new proposition, (video is supervised
Control Data Frontend processing equipment).The insertion smart machine 8 is connected with one or more monitoring cameras 1, at the same by one or
More front-end servers 2 of person are controlled.The deployment of lower deployment cost Relatively centralized formula and global function based on the insertion smart machine 8
The deployment way of intelligent video analysis all it is cheap very much.The insertion smart machine 8 can be to one or more monitoring cameras 1
The simulation or intelligent video content sent are analyzed in real time, and according to the Network status (such as network bandwidth) of communication network 3,
It is that corresponding content is sent to front-end server 2, the number that then will be collected by front-end server 2 from embedded smart machine 8
Monitoring center 4 is sent to according to by communication network 3.At the same time, which can also support the local of management monitor terminal 9 to connect
Enter, and corresponding local management and configuration are carried out by the management and monitoring terminal 9.
Fig. 4 is the schematic diagram for the network architecture two for showing the video monitoring data communication front-end equipment using the present invention.
The system architecture of Fig. 2 have lower deployment cost it is high, to the bad adaptability of application environment, flexibility is poor the deficiencies of.Therefore, for Fig. 2's
The application scenarios present invention proposes new system architecture.In Fig. 3, introducing a kind of insertion smart machine 8 of new proposition, (video is supervised
Control Data Frontend processing equipment).The insertion smart machine 8 is connected with one or more monitoring cameras 1.Based on the insertion intelligence
Can equipment 8 lower deployment cost Relatively centralized formula deployment and global function intelligent video analysis deployment way all it is cheap very much.This is embedding
A simulation or intelligent video content that either more monitoring cameras 1 are sent can be divided in real time by entering smart machine 8
Analysis, and corresponding content is sent to by monitoring center by communication network 3 according to the Network status (such as network bandwidth) of communication network 3
4.At the same time, which can also support the local access of management monitor terminal 9, and carry out phase by the management and monitoring terminal 9
The local management answered and configuration.
Fig. 5 is that the internal logic of embedded smart machine 8 is formed；The insertion smart machine 8 in addition to need basic CPU,
Outside memory and bus hardware, embedded OS is also at least needed.Utilizing camera interface 502 is mainly supported and analog or digital
The communication of camera.Network interface 503 is used for supporting the various nothings to communicate with monitoring center 4 or management and monitoring terminal 9
Line or wired communication interface (such as 802.11 wireless networks, 802.3 cable networks).In main functionality module 501, until
It is few to include controlling engine 501-1, to control all operation flow and function module；Intelligent analysis module 501-2, into
The video analysis of row intelligence；Device management module 501-3, to manage and safeguard the state of the main modular in the equipment, and
Realization communicates with the management of monitoring center 4 or management and monitoring terminal 9；Local storage 501-4, can not be same in time to store
It walks to intellectual analysis result, picture or the video of monitoring center 4；Procotol and scheduler module 501-6, to according to current
The situation of the communication network of connection carries out the scheduling of flexible information transmission, it controls the current insertion smart machine 8 to be supported
All-network AM access module 501-5.
Fig. 6 is the typical internal flow shown when the embedded smart machine of list according to embodiments of the present invention works independently
Figure.In such a scenario, need the environment monitored comparatively smaller (inside the shorter bus of such as length), separate unit is taken the photograph
All interior situations can be analyzed, therefore only need separate unit insertion smart machine autonomous working can as head embedding enters smart machine
To complete all analysis demands.(the step 601) after embedded smart machine 8 starts, the equipment enter major cycle flow.First
Control engine 501-1 (receiving unit) in embedded smart machine 8 receives current video frame by utilizing camera interface 502
(step 602), Next, it is determined whether (step 603) can be analyzed based on current video frame.Here video frame is by supervising
Control camera shoots each region to be monitored and collected.Certain video analysis algorithms need to cache continuously several frames and regard
Frequency picture analyzes the situation of change of same object on a timeline between multiple video frame, carries out the analysis in sequential.At this
In the case of kind, possibly can not (step 603 no) be analyzed based on current video frame, need current video frame keeping in (step
It is rapid 604), next frame video data is waited for reach after the operation is completed.If can carry out video analysis (step 603
Be), then by intelligent analysis module 501-2 (analytic unit) carry out it is corresponding analysis detection (such as：If necessary to analyze bus
Interior passenger's number situation can at this time apply corresponding typical character's detection algorithm：First inflection point is analyzed using Haar wavelet transform
Then information filters out corresponding noise using contrast histogram projection, then gone in matching image with personage's template
Content carries out the counting of personage), to obtain the relevant video analysis result of generation with the critical event in each region
(such as：In the video analysis algorithm being generally noted above, the result of video analysis is exactly the ridership in monitored bus
Mesh) (step 605).After the video analysis result is obtained, procotol and scheduler module 501-6 (transmitting element) judge network
Current state (the step 606) for the network module supported in AM access module 501-5.If current network conditions are poor
(narrowband network or without network), i.e., the available bandwidth of the network currently connected are less than first threshold, then only send video analysis
As a result (step 607), and (step in the video analysis result and corresponding video frame deposit local storage 501-4
610).If current network conditions only support Medium-bandwidth, i.e., the available bandwidth of the communication network currently connected is greater than or equal to the
One threshold value and less than or equal to second threshold (second threshold be more than first threshold), then only send video analysis result and crucial
Video frame (such as：In the example being generally noted above, do not need to analyze each frame in the video in bus, it can be with
A certain frame after analysis bus is leaving from station carries out specific aim analysis, and this analyzed video frame is current key video sequence
Frame) (step 608), and (step 610) in the video analysis result and corresponding content deposit local storage 501-4；
If current network conditions are very good, broadband network can be supported, i.e., the available bandwidth of the communication network currently connected is more than second
All the elements in local storage 501-4 are then sent to 4 (step 612) of monitoring center by threshold value.I.e., it is possible to according to current
The bandwidth status of the communication network of connection, selectively by received video monitoring data and video analysis result at least
One is sent to the monitoring center.Later, judge whether to terminate major cycle (step 611), if worked on, under waiting for
One frame reaches.If can terminate, business function terminates (step 612).
Monitoring center can carry out data summarization and abnormal data first after the video analysis result from multiple spot is collected into
Monitoring.If detect that certain abnormal conditions (for example, in bus under the scene of condition monitoring, detect certain buses
Interior has had arrived at event of overload, and passenger is excessive), monitoring center is notified that related personnel carries out floor manager, link fortune
Seek pressure.If without abnormal conditions, monitoring center by according to the video analysis result that each embedded smart machine is sent into
The scheduling of row related resource (for example, in bus under the scene of condition monitoring, can send more buses to car and multiply
On the larger public bus network of objective density, the frequency of sending a car of the smaller public bus network of passenger inside the vehicle's density is reduced).By dispatching
Afterwards, data also can be distributed to terminal user by monitoring center by internet, be referred to for the selection of related social resources.
Fig. 7 is when showing multi-embedding smart machine cooperation according to embodiments of the present invention, and embedded device is operated in master
The figure of internal process during pattern.In such a scenario, need the environment monitored comparatively smaller (as length is long
Inside bus), separate unit camera embedding, which enters smart machine, can not analyze all interior situations, it is therefore desirable to dispose more insertions
Smart machine, every equipment are responsible for detecting some region in bus, wherein an embedded smart machine is collected from it
The analysis result of his equipment is sent to the server of network side after summarizing.(the step 701) after embedded smart machine 8 starts, should
Equipment enters major cycle flow.Control engine 501-1 in smart machine 8 embedded first is received by network interface from other
After video analysis result and relevant video frame (step 702) that embedded smart machine 8 is sent, it is first determined whether can be with base
(step 703) is analyzed in current all contents.If due to algorithm, need the content that will be currently received into
Row is temporary, then completes to wait for after the operation being sent to for data next time.If video analysis can be carried out, engine 501- is controlled
1 obtains current video frame (step 704) by utilizing camera interface 502 from local camera, then judges whether that this can be carried out
Analysis (the step 705) on ground.Certain video analysis algorithms need to cache continuous a few frame video pictures, divide between multiple video frame
The situation of change of same object on a timeline is analysed, carries out the analysis in sequential.In this case, then local cache is carried out
After (step 706), next frame video data is waited for reach.If local analytics can be carried out, in intelligent analysis module 501-2
The analysis result that other insertion smart machines 8 of middle combination are sent is (in typical video analysis method, if necessary to analyze bus
Interior passenger's number situation can at this time apply corresponding typical character's detection algorithm：First inflection point is analyzed using Haar wavelet transform
Then information filters out corresponding noise using contrast histogram projection, then gone in matching image with personage's template
Content carries out the counting of personage.The typical analysis combination such as method of average, weighted mean method, the mean of variance method of multiple spot
Deng), it carries out corresponding analysis and detects and obtain final video analysis result (step 707).Obtaining final video analysis result
Afterwards, procotol and scheduler module 501-6 judge the current state for the network module supported in network access module 501-5
(step 709).If current network conditions are poor (narrowband network or without network), video analysis result (step is only sent
It is rapid 710) (such as：In the video analysis algorithm being generally noted above, the result of video analysis is exactly multiplying in monitored bus
Objective number), and (step 713) in the video analysis result and corresponding video frame deposit local storage 501-4；If
Current network conditions only support Medium-bandwidth, then only send video analysis result and crucial video frame (step 711) (such as：
In the example being generally noted above, do not need to analyze each frame in the video in bus, it can analysis bus
A certain frame after leaving from station carries out specific aim analysis, and this analyzed video frame is current key video sequence frame), and the result
With (step 713) in corresponding content deposit local storage 501-4；If current network conditions are very good, can support
All the elements in local storage 501-4 are then sent to 4 (step 712) of monitoring center by broadband network.Later, judgement is
No end major cycle (step 714), if worked on, waits for next frame to reach；If can terminate, business function knot
Beam (step 715).
When embedded smart machine 8 is operated in subordinate mode, workflow is similar to the flow in Fig. 6, but does not need to
The network control function in 606/607/608/609 several steps is carried out, the result of analysis and corresponding video frame need to only be sent
To main embedded smart machine 8.It is only simply that subordinate is intelligently embedding when embedded smart machine 8 is operated in repeater mode
The content for entering the transmission of equipment 8 is transmitted to main embedded smart machine 8.
Fig. 8 is the sequence diagram for showing the signaling process between each capital equipment of the present invention.It is only in singly embedded smart machine
In message flow 801 during vertical work, each embedded smart machine 8 independently works.They respectively obtain local video
Analysis and the result (801-1/801-3/801-5) of identification, and suitable content is selected to monitoring center 4 according to the situation of network
It sends (801-2/801-4/801-6).In message flow (802) when singly embedded smart machine works independently, embedded intelligence
Energy equipment 8 may be operated in main embedded mode of intelligent equipment or the embedded mode of intelligent equipment of relaying or subordinate insertion intelligence
Equipment mode.Subordinate insertion smart machine 8 carries out local intelligent identification (802-1), and by the result of analysis and regard first first
Frequently/image content directly hand to main embedded smart machine 8 (802-2) or by the embedded smart machine 8 of relaying by result and
Video/picture hands to main embedded smart machine 8 (802-3).In main embedded smart machine, local intelligent identification is carried out first
(802-4), integrate that all associated slaves insertion smart machines 8 send later as a result, obtaining final analysis result (802-
5).Finally, main embedded smart machine sends result to monitoring center 4 (802-6) according to current Network status.
Fig. 9 is the typical case scene of the present invention.The scene is mainly using public transport station as the intelligent public transportation dispatching of core.
The scheduling and operation of a plurality of public bus network 902 are responsible in public transport center 901, are directed to more buses 903.In each bus
In 903, it is respectively arranged with one or more insertion smart machine 8 and camera 1.Monitoring center 4 is deployed at public transport center 901.
Storage center 5 and various monitor terminals 6/7/9 may be deployed in public transport center 901, it is also possible to be deployed in otherwise.It is transporting
During battalion, each bus 903 on every public bus network 902 carries out the intellectual analysis of interior congested conditions, this is regarded
The module of frequency intellectual analysis is the intelligent analysis module 901-2 in embedded smart machine 8.The analysis result and relevant key frame
The monitoring at public transport center 901 is sent to by constantly dedicated network or internet 3 during bus 903 is run outside
Center 4.Monitoring center can carry out the scheduling of intelligence according to the congested conditions that each bus 903 is sent, in crowded public transport
902 direction of circuit, which adds, sends bus 903, takes the circumstances into consideration to reduce bus 903 in not crowded or even idle 902 direction of public bus network,
It is configured with reaching best bus 903.By this intelligent operation way, the income of public transport company can improve, while with
The social infrastructures such as bus resource can be utilized effectively, so as to improve the traffic convenience in intelligent city.
In the present invention, main including a kind of built-in smart video equipment suitable for complex application context and therewith phase
The network system realization of pass.The built-in smart video equipment can supervise the scene for being not suitable for deployment services device in real time
Control, and required application affairs are analyzed from the video acquired, and pass through wirelessly or non-wirelessly network and be sent to monitoring center
End is summarized and lexical analysis.The intelligent video equipment often supports the ability of a variety of wirelessly or non-wirelessly networks, and can be with
Effective information filtering is carried out according to the situation of heterogeneous networks, suitable information is sent to monitoring center.By disposing this hair
Built-in smart video equipment and relevant system and method in bright, can be effectively reduced the deployment of intelligent monitor system
Cost improves the adaptability for site of deployment environment and enhances flexibility ratio.
Although having been combined the preferred embodiment of the present invention above shows the present invention, those skilled in the art will
It will be appreciated that without departing from the spirit and scope of the present invention, the present invention can be carry out various modifications, replaced and changed
Become.Therefore, the present invention should not be limited by above-described embodiment, and should be limited by appended claims and its equivalent.
Claims (7)
1. one kind is connected at least one monitoring camera and by least one communication network and monitoring center into row data communication
Video monitoring data communication front-end equipment, wherein, at least one monitoring camera claps each region to be monitored
It takes the photograph to acquire video monitoring data, the video monitoring data communication front-end equipment includes：
Receiving unit is received by least one collected video monitoring data of monitoring camera；
Analytic unit carries out video analysis to obtain and the crucial thing in each region to received video monitoring data
The relevant video analysis result of generation of part；And
Transmitting element, according to the bandwidth status of the communication network currently connected, selectively by received video monitoring data
The monitoring center is sent to at least one of video analysis result,
Wherein, if the available bandwidth of the communication network currently connected is less than first threshold, the transmitting element is only by video point
Analysis result is sent to monitoring center；
If the available bandwidth of the communication network currently connected is greater than or equal to first threshold and be less than or equal to second threshold, institute
It states transmitting element and the key video sequence monitoring data involved by video analysis result and video analysis result is sent to monitoring center,
Wherein second threshold is more than first threshold；And
If the available bandwidth of the communication network currently connected is more than second threshold, the transmitting element by video analysis result and
All video monitoring datas received and stored are sent to monitoring center.
2. video monitoring data communication front-end equipment according to claim 1, which is characterized in that
The video monitoring data communication front-end equipment is embedded device.
3. video monitoring data communication front-end equipment according to claim 1, which is characterized in that
Inserted with front-end server between the video monitoring data communication front-end equipment and at least one communication network.
4. video monitoring data communication front-end equipment according to claim 1, which is characterized in that
The video monitoring data communication front-end equipment can be carried out local access, management and configuration by management and monitoring terminal.
5. video monitoring data communication front-end equipment according to claim 1, which is characterized in that
The receiving unit is also received from other video monitoring datas for being subordinated to this video monitoring data communication front-end equipment
The video monitoring data of communication front-end equipment and video analysis result；
The analytic unit passes through to the video analysis result from other video monitoring data communication front-end equipments and this
The video analysis result of video monitoring data communication front-end equipment itself is combined to form final video analysis result；
The transmitting element will selectively come from other described video monitorings according to the bandwidth status of the communication network currently connected
Data Frontend processing equipment and the video monitoring data of this video monitoring data communication front-end equipment and final video analysis
At least one of as a result it is sent to the monitoring center.
6. video monitoring data communication front-end equipment according to claim 1, which is characterized in that
The video monitoring data communication front-end equipment and at least one monitoring camera are loaded on moving body.
7. one kind is connected at least one monitoring camera and by least one communication network and monitoring center into row data communication
Video monitoring data communication front-end equipment in video monitoring data front end processing method, wherein, at least one monitoring
Camera shoots each region to be monitored to acquire video monitoring data, the video monitoring data front end processing method
Including：
The step of receiving video monitoring data collected by least one monitoring camera；
Video analysis is carried out to received video monitoring data to obtain the generation with the critical event in each region
The step of relevant video analysis result；And
According to the bandwidth status of the communication network currently connected, selectively by received video monitoring data and video analysis
At least one of as a result the step of being sent to the monitoring center,
Wherein, if the available bandwidth of the communication network currently connected is less than first threshold, only video analysis result is sent to
Monitoring center；
If the available bandwidth of the communication network currently connected is greater than or equal to first threshold and be less than or equal to second threshold, will
Key video sequence monitoring data involved by video analysis result and video analysis result is sent to monitoring center, wherein second threshold
More than first threshold；And
If the available bandwidth of the communication network currently connected is more than second threshold, by video analysis result and received and stored
All video monitoring datas be sent to monitoring center.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310098634.0A CN104079866B (en) | 2013-03-26 | 2013-03-26 | Video monitoring data communication front-end equipment and video monitoring data front end processing method |
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| CN104702918A (en) * | 2015-03-27 | 2015-06-10 | 成都逸泊科技有限公司 | Intelligent video monitoring parking anti-theft system |
| CN105120217B (en) * | 2015-08-21 | 2018-06-22 | 上海小蚁科技有限公司 | Intelligent camera mobile detection alert system and method based on big data analysis and user feedback |
| CN105554592B (en) * | 2016-02-02 | 2019-03-01 | 深圳市指点信息科技有限公司 | A kind of method and system for realizing high frame-rate video Image Acquisition transmission |
| CN106327875B (en) * | 2016-08-29 | 2020-05-05 | 苏州金螳螂怡和科技有限公司 | Traffic video monitoring management control system |
| CN106385560B (en) * | 2016-09-23 | 2020-08-28 | 威海元程信息科技有限公司 | Video monitoring system and method |
| CN108881846B (en) * | 2018-07-10 | 2020-12-08 | 深圳市易成自动驾驶技术有限公司 | Information fusion method and device and computer readable storage medium |
| CN110830759B (en) * | 2018-08-09 | 2021-09-07 | 华为技术有限公司 | Intelligent application deployment method, device and system |
| CN109375239A (en) * | 2018-11-13 | 2019-02-22 | 四川西南交大铁路发展股份有限公司 | A kind of circuitry obstacle object monitor and alarm system and method based on three-dimensional imaging |
| CN111464816B (en) * | 2020-04-03 | 2020-11-17 | 广东利通科技投资有限公司 | Expressway video monitoring system |
| CN111506769B (en) * | 2020-04-21 | 2023-08-29 | 浙江大华技术股份有限公司 | Video file processing method and device, storage medium and electronic device |
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| CN101924924A (en) * | 2010-07-28 | 2010-12-22 | 厦门雅迅网络股份有限公司 | Adaptive transmission method and system for wireless remote video monitoring |
| CN102143309A (en) * | 2010-01-28 | 2011-08-03 | 三星泰科威株式会社 | Network camera and system and method for operating the network camera |
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| KR20110114957A (en) * | 2010-04-14 | 2011-10-20 | 삼성전기주식회사 | Data transmission apparatus and method, network data transmission system and method using the same |
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| CN102143309A (en) * | 2010-01-28 | 2011-08-03 | 三星泰科威株式会社 | Network camera and system and method for operating the network camera |
| CN101924924A (en) * | 2010-07-28 | 2010-12-22 | 厦门雅迅网络股份有限公司 | Adaptive transmission method and system for wireless remote video monitoring |
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