Research on Moving Vehicle Detection in the Presence of Occlusion

摘要：

Occlusion is an important problem of the moving target detection. This paper proposed a new method of vehicle detection according to the deficiencies of common vehicle detection methods. Firstly, the background is modeled through the improved histogram-mean model to extract more accurate background model and update in real-time; then we obtained the background through background subtraction and supplement edge information; at last get the complete foreground information of vehicle by the morphological to denoise and fill the empty positions of windows. Based on the occlusion of target in the foreground, this paper presents an effective method to obtain the accurate vehicles using adhesion point detection. The experimental results show that this method can accurately detect various types of vehicles, the computational complexity is low, be able to extract traffic information in real-time, and solved the problem of vehicle occlusion.

关键词： Vehicle Detection Histogram-Mean Model Window fill Occlusion

作者: Hengjun Yue Jian Wu Yanyan Cao Zhiming Cui

作者单位: The Institute of Intelligent Information Processing and Application,Soochow University, Suzhou, Chin The Institute of Intelligent Information Processing and Application,Soochow University,Suzhou, China The Institute of Intelligent Information Processing and Application,Soochow University,Suzhou, China

会议类型: 国际会议

会议名称: 电子商务、工程及科学领域的分布计算和应用国际会议(DCABES 2010)

会议地点: 香港

会议语种:英文

页码: 514-517

在线出版日期: 2010-08-10（万方平台首次上网日期，不代表论文的发表时间）