A Pedestrian Detection and Tracking System Based on Video Processing Technology

被引：5
|
作者：
Chen, Yuanyuan [1 ,2 ]
Guo, Shuqin [2 ]
Zhang, Biaobiao [1 ]
Du, K. -L. [1 ]
机构：
[1] Enjoyor Inc, Enjoyor Labs, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou, Zhejiang, Peoples R China
来源：
2013 FOURTH GLOBAL CONGRESS ON INTELLIGENT SYSTEMS (GCIS) | 2013年
关键词：
pedestrian detection; pedestrian tracking; pedestrian counting; risk warning;
D O I：
10.1109/GCIS.2013.17
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Pedestrian detection and tracking are widely applied to intelligent video surveillance, intelligent transportation, automotive autonomous driving or driving-assistance systems. We select OpenCV as the development tool for implementation of pedestrian detection, tracking, counting and risk warning in a video segment. We introduce a low-dimensional soft-output SVM pedestrian classifier to implement precise pedestrian detection. Experiments indicate that the system has high recognition accuracy, and can operate in real time.
引用
收藏
页码：69 / 73
页数：5
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