English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51897/87065 (60%)
Visitors : 8466940      Online Users : 220
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/109808


    Title: A Novel Translation, Rotation, and Scale-Invariant Shape Description Method for Real-Time Speed-Limit Sign Recognition
    Authors: Tsai, Chi-Yi;Liao, Hsien-Chen;Feng, Yen-Chang
    Keywords: centroid-to-contour descriptor;Speed-limit sign recognition;road-sign detection;shape description
    Date: 2016-05-28
    Issue Date: 2017-03-07 02:12:44 (UTC+8)
    Abstract: Speed-limit sign (SLS) recognition is an important function to realize automatic driving assistance systems (ADAS). This paper presents a novel design of an image-based SLS recognition algorithm, which can efficiently detect and recognize SLS in real-time. To improve the robustness of the proposed SLS algorithm, this paper also proposes a new shape description method to describe the detected SLS using centroid-to-contour (CtC) distances of the sign content. The proposed CtC descriptor is invariant to translation, rotation, and scale variations of the SLS in the image. This advantage increases the recognition rate of a linear support vector machine classifier. The proposed SLS recognition method had been implemented and tested on an ARM-based embedded platform. Experimental results validate the SLS recognition accuracy and real-time performance of the proposed method.
    Relation: International Conference on Applied System Innovation
    Appears in Collections:[電機工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    A Novel Translation, Rotation, .pdf全文708KbAdobe PDF26View/Open
    ICASI2016agendaF.pdf議程232KbAdobe PDF10View/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