Vision-based real-time pedestrian detection for autonomous vehicle

被引：0
|
作者：
Liu Xin [1 ]
Dai Bin [1 ]
He Hangen [1 ]
机构：
[1] Natl Univ Def Technol Automat Inst, Changsha 410073, Hunan, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a real-time single-frame pedestrian detection approach. Combining efficient interesting regions selection and proper SVM classifier, the method is applicable to the autonomous vehicles running on urban roads. Experiment results with test dataset extracted from real driving on urban roads are presented to illustrate the performance of this approach.
引用
收藏
页码：123 / 127
页数：5
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