Pressing Yellow Line Detection Based on Hough Transform
Due to the current video-based vehicle pressing line detection algorithm, there is a higher false detection and missing case in practical application. The article objectively compares and learns from existing video surveillance technology on the basis of analysis and research of intelligent transportation system. According to the characteristics of the central yellow line region into straight-line distribution in road traffic, the pressure line detection algorithm based on Hougb transform is proposed to detect whether the vehicle is pressed the center yellow line area roads. Firstly it identifies the yellow line region from real-time image by using Hough transform, and then calculates the length of yellow line. Finally, according to the length of the yellow line to judge whether a vehicle was rolled press the yellow line. The results show that the algorithm is better than other algorithms on the rate of false detection and undetected case, better meets the needs of engineering practice.
hough transform pressure line detection image processing yellow line area intelligent transportation
Zhao Wen-dong Qi Hui Jin Chun-xia
Faculty of Computer Engineering Huaiyin Institute of Technology Huaian,China Department of computer Taiyuan Normal University Taiyuan, China Faculty of Computer Engineering Huaiyin Institute of Technology Huaian, China
国际会议
海口
英文
288-291
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）