Motion cue based pedestrian detection with two-frame-filtering  

作　　者：吕敬钦 Zhang Miaohui Yang Jie 

机构地区：[1]Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University,and Key Laboratory of System Control and Information Processing,Ministry of Education of China

出　　处：《High Technology Letters》2015年第3期328-332,共5页高技术通讯（英文版）

基　　金：Supported by the National High Technology Research and Development Program of China(No.2007AA01Z164);the National Natural Science Foundation of China(No.61273258)

摘　　要：This study proposes a motion cue based pedestrian detection method with two-trame-filtering （Tff） for video surveillance. The novel motion cue is exploited by the gray value variation between two frames. Then Tff processing filters the gradient magnitude image by the variation map. Summa- tions of the Tff gradient magnitudes in cells are applied to train a pre-deteetor to exclude most of the background regions. Histogram of Tff oriented gradient （HTffOG） feature is proposed for pedestrian detection. Experimental results show that this method is effective and suitable for real-time surveil- lance applications.This study proposes a motion cue based pedestrian detection method with two-frame-filtering(Tff) for video surveillance.The novel motion cue is exploited by the gray value variation between two frames.Then Tff processing filters the gradient magnitude image by the variation map.Summations of the Tff gradient magnitudes in cells are applied to train a pre-detector to exclude most of the background regions.Histogram of Tff oriented gradient(HTffOG) feature is proposed for pedestrian detection.Experimental results show that this method is effective and suitable for real-time surveillance applications.

关 键 词：pedestrian detection two-frame-filtering （TFF） Tff magnitude vector （TffMV） Histogram of Tff oriented gradient （ HTffOG） SVM video surveillance 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]