Vision-based Autonomous Detection of Lane and Pedestrians

被引：0
|
作者：
Kim, Dong-Uk [1 ]
Park, Sung-Ho [1 ]
Ban, Jong-Hee [2 ]
Lee, Taek-Min [2 ]
Do, Yongtae [1 ]
机构：
[1] Daegu Univ, Dept Elect Engn, Gyeongsan City 38453, South Korea
[2] Daegu Univ, Dept Comp & Commun Engn, Gyeongsan City 38453, South Korea
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP) | 2016年
基金：
新加坡国家研究基金会;
关键词：
lane detection; pedestrian detection; driver assistance systems; HOG;
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：
We present an efficient approach to lane and pedestrian detection by processing sequential images from a camera attached to a moving vehicle. The left and right lines of the current lane are detected by finding high intensity pixels along multiple horizontal scan lines and connecting the detected pixel points. Line positions are predicted by tracking in order to increase detection credibility while reducing processing time. Pedestrian detection is done using HOG features. Since HOG-based method is however computer intensive, an edge based adaptive method is proposed. Our approach worked well on real road scene images.
引用
收藏
页码：680 / 683
页数：4
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