Research and Performance analysis on Pedestrian Detection based on Optimized Hog and SVM

被引:0
作者
Zhang, Yanxi [1 ]
Feng, Kaiping [1 ]
机构
[1] Guangdong Univ Technol, Guangzhou Higher Educ Mega Ctr, Guangzhou, Guangdong, Peoples R China
来源
SENSORS, MECHATRONICS AND AUTOMATION | 2014年 / 511-512卷
关键词
Pedestrian Detection; Sliding Window; SVM; HOG;
D O I
10.4028/www.scientific.net/AMM.511-512.247
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Pedestrian detection based on images is one key technology of intelligent vehicles, and it is also widely applied in intelligent robots, intelligent surveillance. This paper mainly focuses on implementing a pedestrian detection system, which is classified by linear SVM with optimized Hog (Histograms of Oriented Gradients) as the extracted features. Then some experiments were done to find out that how the changing resolution of training set, times of bootstrapping iterations and different size and steps of the sliding windows affect the overall performance of detecting systems.
引用
收藏
页码:247 / 250
页数:4
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