A PEDESTRIAN DETECTION METHOD BASED ON DIRICHLET DISTRIBUTION AND HISTOGRAM OF COMPONENTS
Pedestrian detection is a hot topic in computer vision recently.It is a challenging issue to detect the pedestrian in images accurately and quickly.In this paper,we propose a quick and accurate pedestrian detection method based on Dirichlet distribution and histogram of components.This method can find out the pedestrian in images accurately.Because of the introduction of Dirichlet distribution and histogram of components,our method reduces the time cost on detecting pedestrian.The experiment also showed that it can detect the pedestrian sheltered from other object or in the complicated background.
Pedestrian detection Sift Component SVM classifier Dirichlet distribution Bag-of-words
Xu Li Xiaoru Wang Jia Long Lingpu Gong
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing University of Posts and Telecommunications,Beijing 100876,China
国际会议
杭州
英文
1340-1344
2012-10-30(万方平台首次上网日期,不代表论文的发表时间)