文章基本信息

标题：Real-Time Video Surveillance System for Traffic Management with Background Subtraction Using Codebook Model and Occlusion Handling
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作者：Zakaria Moutakki ; Imad Mohamed Ouloul ; Karim Afdel 等
期刊名称：Transport and Telecommunication Journal
印刷版ISSN：1407-6160
电子版ISSN：1407-6179
出版年度：2017
卷号：18
期号：4
页码：297-306
DOI：10.1515/ttj-2017-0027
语种：English
出版社：Walter de Gruyter GmbH
摘要：The scope of this paper is a video surveillance system constituted of three principal modules, segmentation module, vehicle classification and vehicle counting. The segmentation is based on a background subtraction by using the Codebooks method. This step aims to define the regions of interest associated with vehicles. To classify vehicles in their type, our system uses the histograms of oriented gradient followed by support vector machine. Counting and tracking vehicles will be the last task to be performed. The presence of partial occlusion involves the decrease of the accuracy of vehicle segmentation and classification, which directly impacts the robustness of a video surveillance system. Therefore, a novel method to handle the partial occlusions based on vehicle classification process have developed. The results achieved have shown that the accuracy of vehicle counting and classification exceeds the accuracy measured in some existing systems.
关键词：Intelligent transportation systems ; Vehicle detection ; Occlusion handling ; Vehicle classification ; Background subtraction