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Video-based method for rapidly detecting transit vehicles

A detection method and video technology, applied in the fields of traffic monitoring and video processing, can solve problems such as large amount of calculation, and achieve the effect of satisfying real-time performance and low computational complexity.

Inactive Publication Date: 2010-10-27
FUDAN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

The estimation effect of the mixed Gaussian model is better, but the calculation amount is relatively large

Method used

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  • Video-based method for rapidly detecting transit vehicles
  • Video-based method for rapidly detecting transit vehicles
  • Video-based method for rapidly detecting transit vehicles

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] Gaussian blur

[0023] After obtaining the original frame, Gaussian blurring is performed first. The advantage of the blurring process is that it can eliminate the influence of some slight shaking (such as slight shaking of the camera, slight shaking of tree branches, etc.).

[0024] Flash detection and breathing removal

[0025] The detection of the two has certain similarities. The flash fires for a very short time, usually only one frame, and the overall brightness of the image changes dramatically. As for the breathing effect, there are two situations. One is the breathing effect of a general part of the area, which can be discarded by the previous threshold, because the general breathing effect is gradual, not a sudden change similar to a moving object. As for the possible breathing effect of the overall image, the brightness of the overall image is a sudden change. These characteristics are different from the sudden change of the moving object, because in gene...

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Abstract

The invention belongs to the technical field of traffic surveillance and video processing and particularly discloses a video-based method for rapidly detecting transit vehicles. Based on a background difference method, a gradient frame difference method and a frame difference method, the method can simultaneously eliminate the daytime shadows, respiration effect, night headlamp ground-reflected light and other impacts, accurately detect the position of a moving object and judge the lane, where the vehicle is located. According to test results, the method of the invention can overcome the defect that the calculation load is higher in the conventional method and meet the requirement for the real-time performance in the video vehicle detection carried out by an electronic police; and the method is capable of accurately detecting the vehicles in the sight, and has better robustness against the interference, such as light changes, shadows and the like.

Description

technical field [0001] The invention belongs to the technical fields of traffic monitoring and video processing, and in particular relates to a motion estimation and detection method of video images, in particular to a detection method of moving vehicles in traffic video images. Background technique [0002] In recent years, with the popularity of automobiles, problems such as road congestion and traffic accidents have attracted widespread attention. Intelligent Transportation System (Intelligent Transportation System, ITS) is an organic combination of advanced computer processing, data acquisition and transmission technology, computer control, etc., so as to effectively monitor, manage and control transportation and improve transportation efficiency. A system that ensures vehicle safety. In the specific application of intelligent transportation system, with the reduction of the price of camera equipment, the enhancement of computer processing ability and the improvement of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06K9/00
Inventor 金城滕舟冯瑞郭跃飞薛向阳
Owner FUDAN UNIV
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