作者
Vasiliki Kastrinaki, Michalis Zervakis, Kostas Kalaitzakis
发表日期
2003/4/1
期刊
Image and vision computing
卷号
21
期号
4
页码范围
359-381
出版商
Elsevier
简介
Video sensors become particularly important in traffic applications mainly due to their fast response, easy installation, operation and maintenance, and their ability to monitor wide areas. Research in several fields of traffic applications has resulted in a wealth of video processing and analysis methods. Two of the most demanding and widely studied applications relate to traffic monitoring and automatic vehicle guidance. In general, systems developed for these areas must integrate, amongst their other tasks, the analysis of their static environment (automatic lane finding) and the detection of static or moving obstacles (object detection) within their space of interest. In this paper we present an overview of image processing and analysis tools used in these applications and we relate these tools with complete systems developed for specific traffic applications. More specifically, we categorize processing methods based …
引用总数
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学术搜索中的文章
V Kastrinaki, M Zervakis, K Kalaitzakis - Image and vision computing, 2003