文章基本信息

标题：PEDESTRIAN DETECTION ALGORITHM BASED ON LOCAL COLOR PARALLEL SIMILARITY FEATURES
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作者：Xianxian Tian ; Hong Bao ; Cheng Xu 等
期刊名称：International Journal on Smart Sensing and Intelligent Systems
印刷版ISSN：1178-5608
出版年度：2013
卷号：6
期号：5
页码：1869-1890
出版社：Massey University
摘要：HOG Feature is the mainstream feature applied in the field of pedestrian detection .HOG combined with CSS has good effects on pedestrian detection. Because of the large amount calculation of HOG and CSS, HOG and CSS has poor real-time performance, we propose LCSSF (Local Color Self Similarity Feature) avoiding calculating the global color similarity distribution of CSS. The tested results of the Inria and the street pedestrian database show that the accuracy of the HOG with LCSSF has better detection performance and better real-time performance than HOG and CSS