关键词: Gentle AdaBoost, 行人检测, 矩形特征, 级联分类器

Abstract: Pedestrian detection has a wide application in video surveillance and intelligent vehicle system.This paper applies boosted cascade algorithm，which originates from face detection，to the pedestrian detection.Some modifications to this algorithm are also introduced.Firstly，it uses Gentle AdaBoost for classifier training to improve training efficiency.Secondly，it introduces a feature filter procedure before training to decrease training time and memory occupation.The experiment result indicates that the algorithm is efficient in both training and detection，it also has a relatively high detection rate.

Key words: Gentle AdaBoost, pedestrian detection, rectangle feature, cascade classifier