Optimization Algorithm and Implementation of Pedestrian Detection

摘要：

　　Pedestrian detection is widely used in automotive assisting driving system.The algorithm based on Histograms of Oriented Gradient (HOG for short) feature is the main one in the current pedestrian detection.This paper uses tri-linear interpolation method to extract the image HOG features, and gives the optimization algorithm based on look-up table to reduce the amount of calculation in extracting HOG feature.And then classifies them by RBF and linear SVM to explore its speed and accuracy.At the end of the paper, an effective method is given to merge windows that contain detected pedestrians.Experiments on INRIA and MIT databases show that the detecting accuracy and speed of this method is relatively high.

关键词： pedestrian detection Histograms of Oriented Gradient SVM windows merging tri-linear interpolation

作者: Meihua Xu Huaimeng Zheng Tao Wang

作者单位: Microelectronic Research and Development Center, Shanghai University, Shanghai, China School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 428-435

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）