English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 56829/90534 (63%)
造訪人次 : 12275539      線上人數 : 70
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/62145


    題名: 機車騎士未戴安全帽辨識之研究
    其他題名: A Recognition Study of Identifying Motorcyclists without Helmet
    作者: 范俊海;許泰章
    貢獻者: 淡江大學運輸管理學系
    關鍵詞: 模糊類神經網路;安全帽;智慧型執法輔助系統;fuzzy neural network;helmet;intelligent enforcement complement system IECS
    日期: 2011-02
    上傳時間: 2011-10-17 22:39:57 (UTC+8)
    出版者: 武漢市:交通信息與安全雜誌社
    摘要: 臺灣地區機車車輛數眾多,但在應用在機車騎士執法上這一層面較少討論到。國人普遍駕駛習慣不良,而道路交通事故的發生常常就是因爲用路人不守法的行爲所致,近年來未戴安全帽而招舉報的案件上昇10萬多件,使得交通安全的問題日益嚴重。文中使用監視攝影機,透過模糊類神經演算法的運算,篩選出未戴安全帽者,並可結合顔色特徵作進一步分析,提高其辨識率,進行未戴安全帽的辨識工作。這一研究經簡單測試有九成的準確率,在智慧型執法系統中有輔助的效應,也殿立了後續發展的基礎。
    The number of motorcycles is very higher in Taiwan now, but the discussion of enforcement by video-based detector is less. The driving habits of people generally are adverse. Although the violation may not cause car accident, it still makes the society pay huge cost. Recently, the violation of driver without helmet is getting higher with the car-hold-rate increasing. It shows that traffic safety is very important. Firstly, the video-based detector is used to get video frame. Then, fuzzy neural network is used to identify the violation of driver without helmet. Finally, the HSV technology is used to increase detection rates. The simulation results show that the use of the FNN and HSV to increase detection rates is feasible. The detection rate of drivers without helmet is more than 90%.
    關聯: 交通信息與安全=Journal of Transport Information and Safety 29(1),頁75-79+120
    DOI: 10.3963/j.ISSN1674-4861.2011.01.019
    顯示於類別:[運輸管理學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    1674-4861_29(1)_p75-79.pdf3893KbAdobe PDF176檢視/開啟
    機車騎士未戴安全帽辨識之研究.pdf3893KbAdobe PDF0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