English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90453/105672 (86%)
Visitors : 12029547      Online Users : 739
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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

    Files in This Item:

    File SizeFormat
    index.html0KbHTML513View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback