English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90453/105672 (86%)
Visitors : 12050575      Online Users : 273
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 > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/25336

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/25336

    Title: Multi-Camera Invariant Appearance Modeling for Non-Rigid Object Identification in a Real-Time Environment
    Authors: 林智揚;Lin, Chih-Yang;康立威;Kang, Li-Wei;高肇宏;Kao, Jau-Hong;呂俊賢;Lu, Chun-Shien;吳易達;Wu, Yi-Ta
    Contributors: 資訊工程學系
    Keywords: Appearance model;Identification;Invariant features;Surveillance;Multi-camera;Real-time system;Gaussian mixture model;Hierarchical tree structures
    Date: 2013-08
    Issue Date: 2013-07-11 14:18:08 (UTC+8)
    Abstract: Surveillance of wide areas requires a system of multiple cameras to keep observing people, the non-rigid objects. In such a multiple view system, the appearance of people obtained in one camera is usually different from the appearance obtained in other cameras. In order to correctly identify people, the unique appearance model of each specific object should be invariant to such changes. Unlike previous methods building an appearance model by using only single camera, our appearance modeling, in this paper, is based on the multi-camera environment to fit real cases. Our appearance model is represented by two hierarchical tree structures that are responsible for color and texture information, respectively, where each layer of a tree is maintained by a Gaussian mixture model (GMM). The identification process is performed with a delicate voting scheme without complicated computations to meet the requirements of real-time applications. Experimental results show that our unique appearance model is robust to translation, rotation, scaling, and shape variations. Furthermore, it is equipped with automatic model updating, and it achieves a high precision rate and high processing performance.
    Appears in Collections:[資訊工程學系] 期刊論文

    Files in This Item:

    File SizeFormat

    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