Approximate vehicle waiting time estimation using adaptive video-based vehicle tracking

被引：0

作者：

Li, Li ^{[1
]}

Wang, Fei-Yue

机构：

[1] Univ Arizona, Tucson, AZ 85719 USA

[2] Chinese Acad Sci, Beijing 100080, Peoples R China

来源：

ADVANCES IN MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS | 2006年 / 4153卷

关键词：

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：

During the last two decades, significant research efforts had been made in developing vision-based automatic traffic monitoring systems in order to improve driving efficiency and reduce traffic accidents. This paper presents a practical vehicle waiting time estimation method using adaptive video-based vehicle tracking method. Specifically, it is designed to deal with lower image quality, inappropriate camera positions, vague lane/road markings and complex driving scenarios. The spatio-temporal analysis is integrated with shape hints to improve performance. Experiment results show the effectiveness of the proposed approach.

引用

页码：105 / 114

页数：10

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