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Encirclement type moving vehicle video tracking method based on fusion multi-source data analysis

A technology of video tracking and multi-source data, which is applied in the field of vehicle video tracking, can solve problems such as traffic OD data, vehicle historical track data Internet data application, etc., shorten the time of video tracking and processing, improve efficiency, Guarantee the effect of timeliness of application

Pending Publication Date: 2021-11-16
SUZHOU IND PARK SURVEYING MAPPING & GEOINFORMATION CO LTD
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Problems solved by technology

However, distance is still used as a factor in the calculation of probability, and the application of traffic OD data, vehicle historical trajectory data and related Internet data is not considered.

Method used

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  • Encirclement type moving vehicle video tracking method based on fusion multi-source data analysis
  • Encirclement type moving vehicle video tracking method based on fusion multi-source data analysis
  • Encirclement type moving vehicle video tracking method based on fusion multi-source data analysis

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Embodiment Construction

[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0040] According to the encircling mobile vehicle video tracking method based on fusion multi-source data analysis of the present invention, the technical steps are as follows:

[0041]Step 1, for urban traffic road network data and road video surveillance data, construct a graph relationship model of "surveillance video-road section-intersection" according to the visual relationship and spatial topological relationship between the data;

[0042] The specific process is:

[0043] (1) Extract from urban traffic road network vector data (roads include two-way): road crossing vector data (roadCross) and road section vector data (roadSegment);

[0044] roadSegment attributes...

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Abstract

The invention relates to the technical field of vehicle video tracking, in particular to an encirclement type moving vehicle video tracking method based on fusion multi-source data analysis, which improves the accuracy of a prediction result and the continuity of video tracking. The method comprises the following steps: step 1, aiming at urban traffic road network data and road video monitoring numbers, constructing a monitoring video-road section-intersection graph relation model according to a visual relation and a spatial topological relation of the urban traffic road network data and the road video monitoring numbers, so as to form video tracking graph data as a data basis of the video tracking method; step 2, aiming at the set moving vehicle target, monitoring the target vehicle through a man-machine combination mode; step 3, acquiring GPS data of personnel equipment or a vehicle in the moving target vehicle, and performing precision correction on the position of the moving vehicle; and step 4, aiming at the road section where the target vehicle is located, solving a possible driving path in a default second-order encirclement circle range through a graph relation network.

Description

technical field [0001] The invention relates to the technical field of vehicle video tracking, in particular to an enclosing mobile vehicle video tracking method based on fusion and multi-source data analysis. Background technique [0002] With the increasing coverage of urban road monitoring video, the relay tracking of moving target vehicles through video monitoring has been widely used in major security, public security management, criminal cases and traffic violations. However, the amount of surveillance video in the city is huge, and there is an urgent need to improve the efficiency, accuracy, and continuous relay capability of surveillance video calls for moving target tracking. [0003] Video tracking is mainly to solve two key problems: [0004] (1) Predict the driving trajectory of the moving target vehicle. Since the urban road network extends in all directions, it is necessary to predict the driving trajectory of the vehicle more accurately to help contain and in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G01S19/17G06F16/29
CPCH04N7/181G01S19/17G06F16/29
Inventor 李强钱程扬郑胜利杨亚宁蒋如乔
Owner SUZHOU IND PARK SURVEYING MAPPING & GEOINFORMATION CO LTD
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