中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/51539
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 78728/78728 (100%)
Visitors : 33565565      Online Users : 636
RC Version 7.0 © 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


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51539


    Title: Efficient Human Action and Gait Analysis Using Multiresolution Motion Energy Histogram
    Authors: Yu,CC;Cheng,HY;Cheng,CH;Fan,KC
    Contributors: 資訊工程學系
    Date: 2010
    Issue Date: 2012-03-27 18:55:35 (UTC+8)
    Publisher: 國立中央大學
    Abstract: Average Motion Energy (AME) image is a good way to describe human motions. However, it has to face the computation efficiency problem with the increasing number of database templates. In this paper, we propose a histogram-based approach to improve the computation efficiency. We convert the human action/gait recognition problem to a histogram matching problem. In order to speed up the recognition process, we adopt a multiresolution structure on the Motion Energy Histogram (MEH). To utilize the multiresolution structure more efficiently, we propose an automated uneven partitioning method which is achieved by utilizing the quadtree decomposition results of MEH. In that case, the computation time is only relevant to the number of partitioned histogram bins, which is much less than the AME method. Two applications, action recognition and gait classification, are conducted in the experiments to demonstrate the feasibility and validity of the proposed approach.
    Relation: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
    Appears in Collections:[Department of Computer Science and information Engineering] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML490View/Open


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

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明