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Urban road obstacle recognition system

A technology for obstacle identification and obstacle, applied in anti-collision systems, character and pattern recognition, instruments, etc., can solve the problems of imperfect detection links and low reliability, so as to improve the level of research and application, solve traffic congestion, Strong anti-interference effect

Inactive Publication Date: 2014-07-09
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0008] The published Chinese invention patent CN200710075458.3 proposes a method for automatic detection of vehicle traffic accidents through parking detection. It does not analyze and study the impact of obstacles on traffic safety, and does not exclude pedestrians. Obstacles are used to classify stopped vehicles and scattered objects, so the reliability of the system is not high, and there are many imperfections in the detection link

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Embodiment Construction

[0026] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0027] figure 1 A structural block diagram of an urban road traffic obstacle detection system of the present invention, as figure 1 Shown, a kind of urban road traffic obstacle detection shown in the present invention is based on the fixed CCD image detector of urban road traffic. Including the following steps:

[0028] Step S1, acquiring a video image sequence of urban road traffic through a fixed CCD image sensor;

[0029] Step S2, using the improved mixed Gaussian background modeling...

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Abstract

The invention discloses an urban road traffic obstacle tracking and detecting method in which image preprocessing, foreground image extraction, road area detection, multi-target tracking, initial obstacle detection, road traffic safety threat analysis and other parts are related. According to the image preprocessing part, the reliability of image subsequent processing is improved by reducing noise in images and enhancing image contrasts; the foreground image extraction part is used for target detection; the road area detection part is used for judging the positions where obstacles are located, and obtaining road areas by using an eight-neighborhood seed gray filling algorithm; the multi-target tracking is carried out by combining a mean value offset algorithm and a nearest neighbor searching algorithm; the obstacles are judged by detecting the changes of the positions of targets; whether threats to traffic safety are caused by the obstacles or not and whether alarm is carried out or not are judged by analyzing upstream vehicle states. According to the urban road traffic obstacle tracking and detecting method, traffic accidents can be prevented from happening by automatically detecting the urban road traffic obstacles through fixed image sensors.

Description

technical field [0001] The invention relates to the field of urban road traffic obstacle detection, and in particular provides an urban road obstacle identification system. Background technique [0002] The problem of urban traffic is a problem that industrial developed countries have been troubled by since this century. Since the 1980s, the economic, trade and social activities of Chinese cities have become increasingly busy, and the vehicle and traffic flow have experienced unprecedented rapid growth. The traditional road transportation facilities can no longer meet the needs of modern society. At present, the traffic problems in my country's cities, especially big cities, are extremely serious, and the number of traffic accidents has been on the rise since the reform and opening up. In 2010, a total of 3,906,164 road traffic accidents were reported across the country, a year-on-year increase of 35.9%. Among them, there were 219,521 road traffic accidents involving casua...

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Application Information

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IPC IPC(8): G06K9/00G08G1/16
Inventor 蓝金辉郭敏刘敏吐尔尼亚孜·艾比布
Owner UNIV OF SCI & TECH BEIJING
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