Integrated Real-Time Vision-Based Preceding Vehicle Detection in Urban Roads

被引：0
|
作者：
Chong, Yanwen [1 ]
Chen, Wu [2 ]
Li, Zhilin [2 ]
Lam, William H. K. [3 ]
Li, Qingquan [1 ]
机构：
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, 129 Luoyu Rd, Wuhan 430079, Peoples R China
[2] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China
[3] Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China
来源：
ADVANCED INTELLIGENT COMPUTING | 2011年 / 6838卷
基金：
中国国家自然科学基金;
关键词：
Feature extraction; Shadow boundary; Vision tracking; Vehicle detection; TRACKING;
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：
This paper presents a real-time algorithm for a vision-based preceding vehicle detection system. The algorithm contains two main components: vehicle detection with various vehicle features, and vehicle detection verification with dynamic tracking. Vehicle detection is achieved using vehicle shadow features to define a region of interest (ROI). After utilizing methods such as histogram equalization, ROI entropy and mean of edge image, the exact vehicle rear box is determined. In the vehicle tracking process, the predicted box is verified and updated. Test results demonstrate that the new system possesses good detection accuracy and can be implemented in real-time operation.
引用
收藏
页码：270 / +
页数：2
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