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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37736

    Title: A real-time and color-based computer vision for traffic monitoring system
    Authors: Huang, Mao-chi;顏淑惠;Yen, Shwu-huey
    Contributors: 淡江大學資訊工程學系
    Date: 2004-06-27
    Issue Date: 2010-04-15 10:20:38 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: The work presents a vision-based traffic monitoring system using the analysis of color image sequences of traffic scenes recorded by a stationary camera mounted on a tall building or pedestrian crossing bridge near a traffic light. The system algorithms consist of building the initial background, segmenting the foreground, shadow separation, vehicle location, vehicle tracking, and background updating. The YCrCb color space is adopted. It provides us an accurate and robust device for foreground and shadow detection. Our system can accurately locate and track vehicles from image sequences. It is fast enough to operate in real time, insensitive to lighting and weather conditions, and only requires a minimal amount of initialization. Experimental results from town scenes demonstrate the effectiveness of our system.
    Relation: Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on (Volume:3 ), pp.2119-2122
    DOI: 10.1109/ICME.2004.1394685
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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