淡江大學機構典藏:Item 987654321/37648
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62830/95882 (66%)
Visitors : 4043786      Online Users : 975
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/37648


    Title: Motion Analysis for the Standing Long Jump
    Authors: Hsu, Hui-huang;Hsieh, Sheng-wen;Chen, Wu-chou;Chen, Chun-jung;Yang, Che-yu
    Contributors: 淡江大學資訊工程學系
    Date: 2006-07-04
    Issue Date: 2010-04-15 10:00:46 (UTC+8)
    Publisher: IEEE
    Abstract: The standing long jump is a standard test for primary school students. It can be used to evaluate the development of basic sports skills of a child. This paper presents a system that can automatically detect the motion during a standing long jump from a video sequence. The silhouette of the jumper in the film is segmented from the background first for all frames. A stick model is applied to the silhouette found in the first frame. Then a GA-based search algorithm is used to find the stick models for the rest of the frames. The stick model points out the important joints of a person and can be used to represent the pose of the jumper in each frame. From the pose change in consecutive frames, we will be able to analyze the movement of the jumper.
    Relation: Distributed Computing Systems Workshops, 2006. ICDCS Workshops 2006. 26th IEEE International Conference on, pp.47
    DOI: 10.1109/ICDCSW.2006.74
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML286View/Open
    Motion Analysis for the Standing Long Jump.pdf240KbAdobe PDF179View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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