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dc.contributor.authorChen, Hua-Tsungen_US
dc.contributor.authorTsai, Li-Wuen_US
dc.contributor.authorGu, Hui-Zhenen_US
dc.contributor.authorLee, Suh-Yinen_US
dc.contributor.authorLin, Bao-Shuh P.en_US
dc.date.accessioned2019-04-02T06:04:15Z-
dc.date.available2019-04-02T06:04:15Z-
dc.date.issued2012-01-01en_US
dc.identifier.issn2330-7927en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ICMEW.2012.36en_US
dc.identifier.urihttp://hdl.handle.net/11536/150561-
dc.description.abstractTraffic surveillance systems have been widely used for traffic monitoring. If the degree of traffic congestion can be evaluated from the surveillance videos immediately, the drivers can choose alternate routes to avoid traffic jam when traffic congestion arises. Compared to daytime surveillance, some tough factors such as poor visibility and higher noise increase the difficulty in video understanding under nighttime environments. In this paper, we propose a framework of traffic congestion classification for nighttime surveillance videos. The framework consists of three steps: the first one is to detect headlights based on three salient headlight features. Second, headlights are grouped into individual vehicles by evaluating their correlations. Third, a virtual detection line is adopted to gather the traffic information for traffic congestion evaluation. Then the traffic congestion is classified into five levels: jam, heavy, medium, mild and low in real-time. We use freeway nighttime surveillance videos to demonstrate the performances on accuracy and computation. Satisfactory experimental results validate the effectiveness of the proposed framework.en_US
dc.language.isoen_USen_US
dc.subjecttraffic congestionen_US
dc.subjectnighttime surveillanceen_US
dc.subjectvirtual detection lineen_US
dc.subjectheadlight detectionen_US
dc.titleTraffic Congestion Classification for Nighttime Surveillance Videosen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ICMEW.2012.36en_US
dc.identifier.journal2012 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW)en_US
dc.citation.spage169en_US
dc.citation.epage174en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000309512100029en_US
dc.citation.woscount6en_US
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