Robust Tracking Approach for Vision-based Forward Vehicle Detection

被引：0
|
作者：
Chi, Fu-Hsaing [1 ]
Huo, Chih-Li [1 ]
Yu, Yu-Hsaing [1 ]
Sun, Tsung-Ying [1 ]
机构：
[1] Natl Dong Hwa Univ, Dept Elect Engn, Hualien, Taiwan
来源：
2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012) | 2012年
关键词：
Lane-marking tracking; Forward vehicle; detection and tracking; SYSTEM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on the lane marking tracking, this study presents a robust tracking approach for vision-based forward vehicle detection. Following vanishing point of lane which is according to lane detection point and linear regression analysis, five scan lines created as region of interest (ROI) for tracking is adopted to reduce the computational cost in detection process. The proposed algorithm implemented on TI DM648 DSP platform, and get very well results for various road environments.
引用
收藏
页码：244 / 248
页数：5
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