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    ASIA unversity > 管理學院 > 國際企業學系 > 期刊論文 >  Item 310904400/79867

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/79867

    Title: Abandoned Object Detection in Complicated Environments
    Authors: Mucht, Kahlil;Muchtar, Kahlil;林智揚;LIN, CHIH-YANG;Kang, Li-Wei;Kang, Li-Wei;Ye, Chia-Hung;Yeh, Chia-Hung
    Contributors: 資訊工程學系
    Date: 2014-11
    Issue Date: 2014-06-05 12:21:33 (UTC+8)
    Abstract: In video surveillance, tracking-based approaches are very popular especially for detecting abandoned objects in public areas. Once the object has been tracked, the object status can be further classified as removed or abandoned. However, some shortcomings were found on tracking-based approaches, e.g. illumination changes and occlusion. Therefore, in this paper, an alternative approach to detect abandoned objects is proposed by incorporating background modeling and Markov model. In addition the shadow removal is employed to rectify detected objects and obtain more accurate results. The experimental results show that the proposed scheme is better than other methods in terms of accuracy and correctness.
    Relation: Asia Pacific Signal and Information Processing Association
    Appears in Collections:[國際企業學系] 期刊論文

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