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Early warning method and system for traffic accident detection

A technology of traffic accident and early warning system, applied in traffic flow detection, closed-circuit television system, image data processing, etc.

Inactive Publication Date: 2014-10-29
KUNMING UNIONSCIENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Solve the impact of moving objects in the video detection process on background initialization by acquiring background frames

Method used

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  • Early warning method and system for traffic accident detection
  • Early warning method and system for traffic accident detection
  • Early warning method and system for traffic accident detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] like figure 1 The shown method for detecting and early warning of traffic accidents includes the following steps: S1, obtaining consecutive N frames of video frames, converting the video frames into formats, and processing them to obtain background frames; S2, using the video frames to obtain a After the background frame is subjected to the difference operation, the binarization method is used to detect the moving object in the video frame;

[0030] In specific implementation, the differential operation formula is as follows ,

[0031] After that, the binary method is used to detect the moving target, and the following formula is used to detect the moving target.

[0032] ;

[0033] In the expression: D is the image after difference, f is the current video frame image, B is the background frame image, R is the moving target detection image after binarization, TH is the threshold set during binarization, 255 Represents the detected moving target, and 0 represents ...

Embodiment 2

[0047] A traffic accident detection and early warning method is different from Embodiment 1 in that the value of N is changed to 8. In the embodiment in which N is 8, it can be seen from experiments that the noise influence rate is 3%, wherein the established background frame accuracy rate is 90%, and the processing speed is 0.08.

Embodiment 3

[0049] A traffic accident detection and early warning method is different from Embodiment 1 in that the value of N is changed to 15. In the embodiment in which the value of N is 15, it can be known from experiments that the noise influence rate is 3%, wherein the accuracy rate is 94%, and the processing rate is 0.15.

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Abstract

The invention discloses an early warning method and system for traffic accident detection. The early warning method for the traffic accident detection includes steps that S1, acquiring a continuous N-frame video frame, and converting the format of the video frame and processing to obtain a background frame; S2, after using the video frame and the background frame obtained from the video frame to perform differential operation, using a binarization method to detect moving objects in the video frame; S3, after removing false objects from the detected moving objects of the step S2, outputting an image; S4, marking and counting the number of moving objects in the output image, and carrying out collision detection on the moving objects. The early warning method and system for the traffic accident detection realize the intelligentization of highway traffic and monitor and early warn accidents of the highway in real time through combining with the existing highway video monitoring video and video image processing technology.

Description

technical field [0001] The invention relates to the field of traffic video detection and early warning, and more particularly, to a traffic accident detection and early warning method. Background technique [0002] Nowadays, traffic surveillance video is not used to the maximum extent, and it does not involve timely handling of early warnings. It is only after the accident that the video is called up for observation and evidence collection, or the accident monitoring is carried out manually. Through automatic analysis and feature extraction of visual content information contained in video data, intelligent transportation can directly use computer video technology to search for corresponding information. Computer video technology includes image processing, computer vision, pattern recognition and other technologies. Highway accidents are more serious than general road traffic accidents, and they are far away from the hospital. Especially, many accident victims are unable to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06T7/20G08G1/01
Inventor 邵宗翰
Owner KUNMING UNIONSCIENCE TECH CO LTD