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dc.contributor.authorWu, Bing-Feien_US
dc.contributor.authorKao, Chih-Chungen_US
dc.contributor.authorJuang, Jhy-Hongen_US
dc.contributor.authorHuang, Yi-Shiunen_US
dc.date.accessioned2014-12-08T15:31:37Z-
dc.date.available2014-12-08T15:31:37Z-
dc.date.issued2013-03-01en_US
dc.identifier.issn1524-9050en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TITS.2012.2208190en_US
dc.identifier.urihttp://hdl.handle.net/11536/22414-
dc.description.abstractThis study proposes a new approach to video-based traffic surveillance using a fuzzy hybrid information inference mechanism (FHIIM). The three major contributions of the proposed approach are background updating, vehicle detection with block-based segmentation, and vehicle tracking with error compensation. During background updating, small-range updating is adopted to overcome environmental changes under congested conditions. During vehicle detection, the proposed approach detects the vehicle candidates from the foreground image, and it resolves problems such as headlight effects. The tracking technique is employed to track vehicles in consecutive frames. First, the method detects edge features in congested scenes. Next, FHIIM is employed to determine the tracked vehicles. Finally, a method that compensates for error cases under congested conditions is applied to refine the tracking qualities. In our experiments, we tested scenarios both inside and outside the tunnel with three lanes. The results showed that the proposed system exhibits good performance under congested conditions.en_US
dc.language.isoen_USen_US
dc.subjectCongested conditionen_US
dc.subjecttraffic surveillanceen_US
dc.subjectvehicle detectionen_US
dc.subjectvehicle trackingen_US
dc.titleA New Approach to Video-Based Traffic Surveillance Using Fuzzy Hybrid Information Inference Mechanismen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TITS.2012.2208190en_US
dc.identifier.journalIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMSen_US
dc.citation.volume14en_US
dc.citation.issue1en_US
dc.citation.spage485en_US
dc.citation.epage491en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000319828100045-
dc.citation.woscount1-
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