CN109784260A - A kind of zone flow real-time statistical method and system based on video structural - Google Patents
A kind of zone flow real-time statistical method and system based on video structural Download PDFInfo
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Abstract
The invention belongs to security protections and smart city technical field, disclose a kind of zone flow real-time statistical method and system based on video structural, described method includes following steps: S1, obtaining monitor video data in region；S2, classify to monitor video data, obtain video structural data；Moving target flow in S3, statistics video structural data；S4, the moving target flow is sent to client.The method obtains monitor video data automatically, and pedestrian, motor vehicle and the non-motor vehicle video structural data classification in video data are extracted into statistics, the flow of the people and vehicle flowrate in the region are monitored in real time, make people that can be best understood from city dynamic, it simultaneously can be by grasping the flow of the people and vehicle flowrate in the especially bustling section in region in real time, travel route planning in advance avoids congestion, reduces traffic pressure.
Description
Technical field
The invention belongs to security protection and smart city technical field, it is related to a kind of zone flow statistical method and system, specifically
Ground, which is said, is related to a kind of zone flow real-time statistical method and system based on video structural technology.
Background technique
With the continuous development of social economy and urbanization process, people's living standard is also continuously improved, as work of riding instead of walk
The private car of tool is more and more, often will cause traffic jam in peak period, and the pressure of city management is caused to be gradually increased.It passes
In system technology, often only by manpower patrol, using eye-observation statistical regions one skilled in the art, motor vehicle and non-motor vehicle flow,
Low efficiency, accuracy is poor, and can not Real-time Feedback current region data on flows.Traffic pressure cannot be effectively relieved, improve commuting
Efficiency.
It is therefore desirable to propose one kind can in real time automatically-monitored region one skilled in the art, motor vehicle and non-motor vehicle flow with more
The dynamic method in city is understood well, is facilitated people to grasp vehicle flowrate and flow of the people, travel route planning in current region in advance and is kept away
Congested link is opened, traffic pressure is reduced.
Summary of the invention
For this purpose, the present invention exactly will solve above-mentioned technical problem, thus propose a kind of high degree of automation based on video
The zone flow real-time statistical method and system of structured techniques.
In order to solve the above technical problems, the technical solution of the present invention is as follows:
The present invention provides a kind of zone flow real-time statistical method based on video structural comprising following steps:
S1, monitor video data in region are obtained；
S2, classify to monitor video data, obtain video structural data；
Moving target flow in S3, statistics video structural data；
S4, the moving target flow is sent to client.
Preferably, the step S3 further includes following steps: the moving target flow is counted with prefixed time interval,
And compare statistical result and previous statistical result, obtain newly-increased data on flows.
Preferably, further including the steps that storing the video structural data after the step S2.
Preferably, the time interval is 5s.
The zone flow real-time statistics system based on video structural that the present invention also provides a kind of comprising:
Data acquisition module, for obtaining monitor video data in region；
Data processing module, for obtaining video structural data for monitor video data classification；
Statistical module, for counting the flow of moving target in video structural data；
Information sending module, for moving target flow to be sent to client.
Preferably, further including memory module, for storing sorted video structural data.
Preferably, further include data access module, the data access module for collecting, converting, push structure
Data.
Preferably, further including video stream module, for sending video flowing to other modules.
Preferably, the data acquisition module is monitor camera, the data processing module is engine server, institute
Stating statistical module is data management server, and the information sending module is center management server.
Preferably, the memory module is picture servers, the video stream module is streaming media server.
The above technical solution of the present invention has the following advantages over the prior art:
Zone flow real-time statistical method of the present invention based on video structural includes the following steps: S1, obtains
Monitor video data in region；S2, classify to monitor video data, obtain video structural data；S3, statistics video knot
Moving target flow in structure data；S4, the moving target flow is sent to client.The method obtains monitoring automatically
Video data, and pedestrian, motor vehicle and the non-motor vehicle video structural data classification in video data are extracted into statistics, in real time
The flow of the people and vehicle flowrate for having monitored the region make people that can be best understood from city dynamic, while can be by grasping in real time
The flow of the people and vehicle flowrate in the especially bustling section in region, travel route planning, avoids congestion in advance, reduces traffic pressure.
Detailed description of the invention
In order to make the content of the present invention more clearly understood, it below according to specific embodiments of the present invention and combines
Attached drawing, the present invention is described in further detail, wherein
Fig. 1 is the zone flow real-time statistical method flow chart described in the embodiment of the present invention based on video structural；
Fig. 2 is the zone flow real-time statistics system schematic described in the embodiment of the present invention based on video structural；
Fig. 3 is the zone flow real-time statistics system framework figure described in the embodiment of the present invention based on video structural；
Fig. 4 is real-time task wound in zone flow real-time statistics system described in the embodiment of the present invention based on video structural
Build timing diagram；
Fig. 5 is that DMS and DBS is handed in zone flow real-time statistics system described in the embodiment of the present invention based on video structural
Mutual pattern diagram.
Appended drawing reference indicates in figure are as follows: 1- data acquisition module；2- data processing module；3- statistical module；4- information hair
Send module；5- memory module.
Specific embodiment
Embodiment
Referring to Fig. 1, the present embodiment provides a kind of zone flow real-time statistical method based on video structural comprising
Following steps:
S1, monitor video data in region are obtained.
In a particular application, video image, institute are acquired by the way that multiple monitor video capture apparatus are arranged in specified region
State region and be generally outdoor location, such as square, hotel, school, market, cell, road, when have in region pedestrian, motor vehicle,
When non-motor vehicle passes through monitor video capture apparatus, video is acquired by video capture equipment in real time or video record obtains video
Data.
S2, classify to monitor video data, obtain video structural data.
Structural categories processing is carried out to the video data of acquisition, identifies pedestrian, motor vehicle, non-motor vehicle moving target,
Further, video data can also be handled as pedestrian's feature, vehicle color, license plate, model etc. according to moving target feature
Biometric data.
Moving target flow in S3, statistics video structural data.
Respectively count video structural data in pedestrian, motor vehicle and non-motor vehicle flow, such as market in front of the door, can
Flow of the people is determined with the quantity by pedestrian in statistics video.
S4, the moving target flow is sent to client.
As user it should be understood that when current region people or vehicle flowrate, by the way that flow of the people, vehicle flowrate data are sent to
Client is so that user knows flow information.
Further, the step S3 is specifically included: counting moving target flow with prefixed time interval, and statistics is tied
The step of fruit compares with previous statistical result, obtains newly-increased data on flows.
Interval acquiring counts the structural data of extraction at regular intervals, in the present embodiment, between the time
It is divided into 5s, i.e., every 5s clock, counts the structural data once obtained again, and by the structural data and 5s of recent statistics
Statistical result before compares, and obtains the data on flows in the 5s, in real time that the traffic statistics increased newly in 5s and the day are total
Data on flows push to client, so that user is known the same day stream of people, vehicle flowrate aggregate data and the stream of people, wagon flow real-time streams in real time
Measure data.
Classify when to data, extracts the video structural data of pedestrian, motor vehicle and non-motor vehicle (at once respectively
People, motor vehicle and non-motor vehicle image data) after, it further include the pedestrian that will be stored, motor vehicle and non-motor vehicle video structural
The step of data are stored respectively.
Zone flow real-time statistical method described in the present embodiment based on video structural, by pedestrian, motor vehicle
Statistic of classification is carried out with non-motor vehicle structural data, provides flow of the people, the information of vehicle flowrate in the region in real time, is convenient for people
City dynamic is controlled in real time, is alleviated congestion, is slowed down traffic pressure.
Embodiment 2
The zone flow real-time statistics system based on video structural that the present embodiment provides a kind of, as shown in Fig. 2, it is wrapped
It includes: data acquisition module 1, for obtaining monitor video data in region；Data processing module 2 is used for monitor video data
Classification, obtains video structural data；Statistical module 3, for counting the flow of moving target in video structural data；Information
Sending module 4, for moving target flow to be sent to client.
Wherein, the data acquisition module 1 is monitoring camera equipment, and such as monitor camera is distributed in selection area,
For capturing the pedestrian in region, motor vehicle and the video of non-motor vehicle, and the video data transmission that will acquire is to data processing
Module 2.
The data processing module 2 is engine server (SES), pedestrian in the video data for being used to will acquire, motor-driven
Vehicle, non-motor vehicle moving target extract respectively, and can further extract the feature of moving target, as pedestrian's appearance, dress,
Accessories etc., the features such as vehicle model, color, license plate.
The statistical module 3 is data management server (DMS), is used to receive statistics task, and obtain real-time statistics
Every candid photograph structural data is stored, is counted, obtains the statistical result of structural data by task result, is provided in real time
Current region one skilled in the art, motor vehicle, non-motor vehicle flow information.It is also used to update traffic statistics number with estimated interval time
Can be 5s according to, interval time, every 5s, real-time task by pre- statistical result mid Pleistocene series meter as a result, and with previous statistics
As a result it compares, obtains the data increment in the 5s, certain time interval can also be set as needed as any duration.
The data management server (DMS) configures subordinate's database server (DBS), interacts with database,
For data access, additions and deletions are provided and change Cha Gongneng, the data of engine cluster offer can be inserted, by every candid photograph structural data
It is stored.
The information sending module 4 is center management server (CMS), is used for the flow results of statistical module counts
Client is updated and be sent to, is also used to verify client rights, user's request is distributed to corresponding server, is issued
Search mission, and result is returned into given client end.
The system also includes memory module 5, the memory module 5 is picture servers (TGI), is used to store from number
According to the pedestrian that data processing module extracts is obtained in processing module, motor vehicle, non-motor vehicle picture store.
Data access module is intelligent data access server (IAS), it is the nucleus module of structured analysis, is responsible for knot
The data processing of structureization analysis meets system by subsequent conversion, push, storage by the structural data of collection algorithm engine
The application demand of system.
The system also includes video stream module, the video stream module is streaming media server (SMT),
Video flowing is sent for the server to demand.
The system also includes engine cluster server (SEC) and access server (APS), the engine cluster services
Device is used to carry out cluster management to the engine in system, each engine that the video resource analyzed will be needed to be distributed to subordinate, institute
Access server is stated for confirming to equipment on-line state, and video address is provided.
System described in the present embodiment, workflow specifically: before obtaining structural data, be by client first
The monitor camera that intelligent data access server (IAS) distribution needs to analyze, and engine cluster server is specified for it
(SEC), subordinate's engine then is distributed for engine cluster server (SEC).Before client specifies video camera to be analyzed, center
Camera resource will be distributed to corresponding intelligent data access server (IAS) by management server (CMS), and by intelligent data
Resource is handed down to engine cluster server by access server, finally according to load balancing, camera resource is distributed to each
In engine, video flowing is obtained by the streaming media server (SMT) that center management server distributes to it, and to the knot in video flowing
Structure information extracts.The structured message extracted is pushed to intelligent data access server, and is transmitted to center by it
Management server, client, database server, picture servers and third-party platform.Wherein, database server is by intelligence
The data management server distribution that data access server is obtained to center management server, data management server can be according to each
The load of database will load lesser database server address and distribute to intelligent data access server, and by its special use
In the structural data that the engine server of forwarding configuration generates, intelligent data access server is transmitted to database server
Data will be stored among corresponding database, be used for data retrieval.
As shown in figure 4, client can send task to centre management service after client specifies real-time statistics task
Device (CMS), and by being transmitted to data management server (DMS) after its creation real-time statistics task.Real-time task is created in DMS
Management, wherein save each DBS in the task on the day of real time data.When real-time task creates successfully, to CMS
Task creation successful information is returned to, while to all online DBS transmission real-time task requests to create and by each DBS timing 5 seconds
Its real time data is updated to DMS.Statistical result is returned by DMS timing.It will create a thread in DMS, timing will own for 5 seconds
The result of task returns to CMS, and the client for subscribing to the task is pushed to by CMS.
Newly-built task can be added into real-time statistics task list in data management server (DMS), and extract it
Required camera list, data management server can by the camera resource list update in need counted to database
In server.Each database server obtains local real-time statistics task result, and pushes every 5 seconds to center management server
Real-time statistics are tied statistics by it as a result, data management server data needed for 5s obtains real-time task into caching
Fruit is transmitted to client, shows this 5 seconds zone flows and the flow of the same day in total by front-end interface.Specifically, such as Fig. 5 institute
Show, pre- statistics resource updated by database server every five seconds clockwise data management server, DMS can according to DBS service state,
Each online DBS is sent in real-time task request, then this request and returns to current statistic result as initialization data.So
The real-time task current statistic actively can be pushed as a result, calculating the secondary return by DMS to DMS every the set time from DBS afterwards
Increment and current total amount.
The data that each database server is sent can be put into caching by data management server, whenever there is same database service
When device sends the data with camera resource, data before will covering, make to retain always in caching is newest all
The real-time statistics resource needed.Every 5 seconds, real-time task can from pre- statistical result mid Pleistocene series meter as a result, and with previous statistics
As a result it compares, obtains data increment in this 5 seconds, i.e. flow information in the time, center is pushed to by data management server
Management server, then client is pushed to by center management server.
Each functional unit allocation process is as follows in system: as shown in figure 3, addition V2200 series of network video management platform,
For common camera, Allocation Analysis plan is also needed.Engine server (SES) is added in system, is distributed for engine server general
Logical video camera；For picture servers (TGI) distribution engine server, the engine server structuring picture storage distributed to figure
In piece server；Data management server (DMS) cluster is added in systems, for managing data-base cluster, to engine analysis
Data distribution write-in resource, complete center management server (CMS) search mission for issuing as middleware；In data management
Server configures subordinate's Database Systems, is used for data access；Streaming media server (SMT) is added in systems, and distributes and takes the photograph
The real-time video of common camera is transmitted to intelligent engine server and analyzed by camera loaded list.
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And it is extended from this it is obvious variation or
It changes still within the protection scope of the invention.
Claims (10)
1. a kind of zone flow real-time statistical method based on video structural, which comprises the steps of:
S1, monitor video data in region are obtained；
S2, classify to monitor video data, obtain video structural data；
Moving target flow in S3, statistics video structural data；
S4, the moving target flow is sent to client.
2. the zone flow real-time statistical method according to claim 1 based on video structural, which is characterized in that described
Step S3 further includes following steps: counting the moving target flow with prefixed time interval, and by statistical result and previous system
It counts result to compare, obtains newly-increased data on flows.
3. the zone flow real-time statistical method according to claim 2 based on video structural, which is characterized in that described
Further include the steps that storing the video structural data after step S2.
4. the zone flow real-time statistical method according to claim 3 based on video structural, which is characterized in that described
Time interval is 5s.
5. a kind of zone flow real-time statistics system based on video structural characterized by comprising
Data acquisition module, for obtaining monitor video data in region；
Data processing module, for obtaining video structural data for monitor video data classification；
Statistical module, for counting the flow of moving target in video structural data；
Information sending module, for moving target flow to be sent to client.
6. the zone flow real-time statistics system according to claim 5 based on video structural, which is characterized in that also wrap
Memory module is included, for storing sorted video structural data.
7. the zone flow real-time statistics system according to claim 6 based on video structural, which is characterized in that also wrap
Include data access module, the data access module for collecting, converting, push structure data.
8. the zone flow real-time statistics system according to claim 7 based on video structural, which is characterized in that also wrap
Video stream module is included, for sending video flowing to other modules.
9. the zone flow real-time statistics system according to claim 8 based on video structural, which is characterized in that described
Data acquisition module is monitor camera, and the data processing module is engine server；The statistical module is data management
Server, the information sending module are center management server.
10. the zone flow real-time statistics system according to claim 9 based on video structural, which is characterized in that institute
Stating memory module is picture servers, and the video stream module is streaming media server.
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Application publication date: 20190521 |