运动车辆阴影的快速检测算法-journalofnortheasternuniversity.pdfVIP

第30 卷第8期 东 北 大 学 学 报 ( 自 然 科 学 版 ) Vol30, No. 8 200 9 年 8 月 Journal of Northeastern U niversity( Natural cience) Aug. 2 0 0 9 吴成东, 王 力, 张云洲, 刘 ( , 110004) : , , , , , , : , , , , : ; ; ; ; : TP 391 : A : 1005-3026(2009) 08-1087-04 A Fast Shadow Detection Algorithm for Moving Vehicles W U Cheng-dong , WA N G L i, ZH A N G Yun-z hou , LI U M eng ( chool of Information cience Engineering, Northeastern University, henyang 110004, China. Correspondent: WANG Li, E-mail: wl1986 ren ren @ 126. com) - - Abstract: Investigates the effect of change in ambient light on the outdoor traffic surveillance system, then a fast shadow detection algorithm is proposed for moving vehicles. According to the local shading model, in the algorithm the brightness ratios are used as criteria to detect the shadow s preliminarily so as to get rid of the pseudo-shadow pixels by dynamic edge projection to obtain the approximate locations of relevant vehicles and, as a result, the thresholds of the criteria can be updated adaptively in compliance with the statistical histogram of brightness ratios. To verify the effectiveness of the proposed algorithm, some tests were done in situ w ith different scenes and sunlight conditions. The results show ed that the proposed algorithm is fast in detection and accurate in ridding shadow w ithout color drift due to change in ambient light. o, it is suitable for the outdoor vehicle detection system. Key words: traffic surveillance; vehicle; brightness ratio; edge feature; shadow detection , A. J. Joshi