English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62568/95225 (66%)
造訪人次 : 2511449      線上人數 : 219
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/115538


    題名: Real-Time Embedded Implementation of Robust Speed-Limit Sign Recognition Using a Novel Centroid-to-Contour Description Method
    作者: Tsai, Chi-Yi;Liao, Hsien-Chen;Hsu, Kuang-Jui
    關鍵詞: Android (operating system);embedded systems;image classification;learning (artificial intelligence);microprocessor chips;smart phones;support vector machines;video streaming
    日期: 2017-09-11
    上傳時間: 2018-11-08 12:11:07 (UTC+8)
    出版者: IET
    摘要: Traffic sign recognition is a very important function in automatic driving assistance systems (ADAS). This study addresses the design and implementation of a vision-based ADAS based on an image-based speed-limit sign (SLS) recognition algorithm, which can automatically detect and recognise SLS on the road in real-time. To improve the recognition rate of SLS
    having different orientations and scales in the image, this study also presents a new sign content description algorithm, which describes the detected road sign using centroid-to-contour (CtC) distances of the extracted sign content. The proposed CtC
    descriptor is robust to translation, rotation and scale changes of the SLS in the image. This advantage improves the recognition accuracy of a support vector machine classifier trained using a large database of traffic signs. The proposed SLS recognition
    method had been implemented on two different embedded platforms, each of them equipped with an ARM-based Quad-Core
    CPU running Android 4.4 operating system. Experimental results validate that the proposed method not only provides a high
    recognition rate, but also achieves real-time performance up to 30 frames per second for processing 1280 × 720 video streams
    running on a commercial ARM-based smartphone.
    關聯: IET Computer Vision 11(6), p.407-414
    DOI: 10.1049/iet-cvi.2016.0082
    顯示於類別:[電機工程學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML125檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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