Vehicle Detection by Edge-Based Candidate Generation and Appearance-based Classification

被引：0
|
作者：
Song, Gwang Yul [1 ]
Lee, Ki Yong [1 ]
Lee, Joon Woong [1 ]
机构：
[1] Chonnam Natl Univ, Dept Ind Engn, Kwangju, South Korea
来源：
2008 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3 | 2008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 monocular machine vision system capable of detecting vehicles in front or behind of our own vehicle. The system consists of two main steps: 1) generation of candidates with respect to a vehicle by analyzing textures, 2) verification of the candidates by an appearance-based method using the AdaBoost learning algorithm. The vehicle candidates are generated by exploiting the facts that a vehicle has vertical and horizontal lines, and furthermore the rear and frontal shapes of a vehicle show symmetry. The proposed system is proven to be effective through experiments under various traffic scenarios.
引用
收藏
页码：86 / 91
页数：6
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