淡江大學機構典藏:Item 987654321/109743
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62830/95882 (66%)
Visitors : 4040538      Online Users : 1020
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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109743


    Title: Real-time implementation of a keypoint-based automatic target selection and tracking system for applications of random bin picking
    Authors: Chi-Yi Tsai;Cheng-Jui Yu;Chao-Chun Yu;Ching-Chang Wong
    Keywords: Keypoint matching;Object detection;Mean shift clustering;Visual tracking;Random bin picking
    Date: 2016-05
    Issue Date: 2017-03-04 02:10:36 (UTC+8)
    Publisher: ICIC International
    Abstract: Object recognition and detection play important roles in various computer vision applications. When images contain different types of objects, detection of an object-of-interest (OOI) from multiple stacking objects becomes a difficult task to be handled using a monocular camera. In this paper, a novel automatic target selection and tracking algorithm is proposed to address this issue efficiently. The proposed method first uses keypoint correspondences to compute control points of targets appeared in incoming images. Next, each OOI in captured images is separated from multiple stacking objects randomly placed in a box using mean shift clustering approach. Finally, a template-based visual tracking method is used to locate and track center position of the top OOI in the box. When implemented on an Intel Core i5-4440 3.1GHz platform, the proposed algorithm achieves real-time performance about 30 frames per second at 640x480 image resolution in the experiments.
    Relation: ICIC express letters. Part B, Applications : an international journal of research and surveys 7(5), p.1135-1140
    DOI: 10.24507/icicelb.07.05.1135
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML103View/Open
    Real-time implementation of a keypoint-based automatic target selection and tracking system for applications of random bin picking.pdf344KbAdobe PDF0View/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