A Video-Based Road Obstacle Recognition and Classification Method

Abstract

The invention discloses a method for recognizing and classifying road barriers based on video. According to the method for recognizing and classifying the road barriers based on the video, according to the urban road monitoring video, a barrier feature extraction and recognition algorithm is studied, a hybrid Gaussian modeling method self-adaptive to background update is provided, and the road background is updated selectively according to static barrier targets obtained through detection; a moving target segmentation method based on concave-convex outline characteristics of the targets is provided, further accurate extraction and separation of the moving targets are achieved through the method, and a foundation is laid for outline-based segmentation of a blocked target; an algorithm for automatic detection of an ROI of a road is provided, and automatic extraction of the ROI of the road in a monitoring image is achieved. A road barrier classifying method involving self-adaptive clipping of the ROI is adopted, road barriers are recognized and classified to be illegally parked vehicles and scattered objects. By the adoption of the method for recognizing and classifying the road barriers based on the video, the barrier handling efficiency of the traffic department can be improved easily, and a foundation is laid for preventing road accidents.

Description

technical field [0001] The invention relates to the field of identification and classification of road traffic obstacles, and in particular provides a video-based method for identification and classification of road obstacles. Background technique [0002] Since the 1980s, with the rapid development of the city's social economy and the continuous improvement of people's living standards, more and more people have the ability to buy private cars. The rapid increase in the number of various vehicles in urban and rural traffic indicates that China has entered the era of motor vehicles in the new century. Because of the unprecedented rapid growth of motor vehicles and traffic vehicles, traditional road traffic facilities can no longer meet the needs of road traffic in contemporary society. Therefore, the road traffic problems in most cities in China, especially big cities, are extremely serious, and the number of traffic accidents shows a rising trend, which brings huge economi...

AI Technical Summary

Problems solved by technology

[0003] At present, some research work has been done on the road obstacle detection technology at home and abroad, and it has been applied to the traffic incident detection system to achieve a high accuracy rate. Few, need further in-depth research

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