Title :
Texture Analysis for Shadow Removing and Tracking of Vehicle in Traffic Monitoring System
Author :
Luo Di ; Huang Xiangnian
Author_Institution :
Coll. of Math. & Comput. Sci., Xi Hua Univ., Chengdu
Abstract :
Video-based surveillance and measuring have been employed more and more widely in traffic monitoring system because of the rich information content contained in video. The vehicles need to be segmented from the video images, the result of vehicles segmentation using background subtraction is not only vehicles but also shadows of vehicles, a method of shadow removing based on texture analysis is presented in this paper. After that, we present a method of tracking of vehicles based on mapping the texture feature. Our method of shadow removing and tracking using texture analysis is simple and efficient.
Keywords :
feature extraction; image segmentation; image texture; object detection; road traffic; road vehicles; video surveillance; background subtraction; image segmentation; shadow removing method; texture feature analysis; traffic monitoring system; vehicle tracking; video-based surveillance; Application software; Computerized monitoring; Entropy; Image segmentation; Information technology; Intelligent vehicles; Layout; Object detection; Surveillance; Vehicle detection; Video-based surveillance; texture analysis;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
DOI :
10.1109/IITA.Workshops.2008.169