A Pedestrian Detection and Tracking System Based on Video Processing Technology

被引：6

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

页码：69 / 73

页数：5

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