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Static vehicle detection method and system based on frame difference method

A technology for stationary vehicles and detection methods, which is applied to traffic control systems, traffic control systems, image data processing and other directions of road vehicles, and can solve problems such as the inability to detect stationary vehicle information and the inability of algorithms to meet the requirements of real-time processing of road condition information. Achieve the effect of increasing the scope of application, increasing the scope of application, and strong robustness

Active Publication Date: 2020-08-11
HEFEI INNOVATION RES INST BEIHANG UNIV
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Problems solved by technology

[0004] A stationary vehicle detection method and system based on the frame difference method proposed by the present invention can solve the technical problem that the traditional algorithm cannot meet the requirements of real-time processing of road condition information and cannot detect stationary vehicle information at the same time

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  • Static vehicle detection method and system based on frame difference method
  • Static vehicle detection method and system based on frame difference method
  • Static vehicle detection method and system based on frame difference method

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Embodiment Construction

[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0038] Such as figure 1 As shown, the stationary vehicle detection method based on the frame difference method described in this embodiment includes:

[0039] The following steps:

[0040] S100. Acquiring traffic video data;

[0041] S200. Perform frame division processing on the video, and perform differential processing on images at adjacent moments in the video sequence to identify the moving vehicle;

[0042] S300, sequentially assigning an ID to vehicles entering the defined video image area for unique identification;

[0043] S400. Taking ...

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Abstract

The invention provides a static vehicle detection method and a static vehicle detection system based on a frame difference method, which can solve the technical problems that a traditional algorithm cannot meet the requirement for real-time processing of road condition information and meanwhile static vehicle information cannot be detected. The static vehicle detection method comprises the steps of: acquiring road condition video data; identifying moving vehicles by adopting a traditional frame difference method; carrying out ID setting on the vehicles entering a defined video image region insequence; recording and storing the position coordinates of the vehicles in an image by taking one frame as a time interval; processing the vehicle parking condition; and finally, analyzing vehicle behaviors by calculating the complete track coordinates of the vehicles to obtain speeds, driving time, driving directions and possibility of staying or not of the ID vehicles and the number of vehiclesunder the current road section. According to the static vehicle detection method, the information of the static vehicles can be matched with the information of the restarted vehicles, even if the vehicles are jammed or at a traffic light intersection, accurate road condition information can still be obtained through adopting the algorithm, and the application range of the traditional frame difference method is enlarged.

Description

technical field [0001] The invention relates to the technical field of computer vision and digital image processing, in particular to a static vehicle detection method and system based on frame difference method. Background technique [0002] With the rapid development of my country's economy with each passing day, people's living standards have gradually improved, and cars have begun to enter thousands of households. As a result, the number of motor vehicles has increased rapidly, traffic demand has gradually increased, traffic congestion, and road vehicle violations are also increasing. How to quickly and effectively acquire traffic data for road condition analysis has become an urgent problem to be solved. [0003] The target tracking of moving objects has always been the frontier direction in the field of intelligent video surveillance. With the gradual deepening of intelligent transportation, it will have a very broad application prospect. In the field of image proces...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/20G06T7/73G08G1/017
CPCG06T7/20G06T7/73G08G1/0175G06T2207/10016G06T2207/10024G06T2207/30241G06V20/42G06V20/52G06V2201/08
Inventor 张志林李虹波张俊杰杨灿于海洋任毅龙
Owner HEFEI INNOVATION RES INST BEIHANG UNIV
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