中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/62940
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 74010/74010 (100%)
造访人次 : 24016586      在线人数 : 435
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/62940


    题名: 人數計算、性別年齡辨識與眼神注視偵測應用於櫥窗廣告系統之關注度估測;People Counting, Gender and Edge Recognition, and Eye Gaze Detection with Application to Interest Degree Estimation in Window Advertisement Systems
    作者: 范國清
    贡献者: 國立中央大學資訊工程系
    关键词: 資訊科學;軟體
    日期: 2012-12-01
    上传时间: 2014-03-17 14:14:49 (UTC+8)
    出版者: 行政院國家科學委員會
    摘要: 研究期間:10108~10207;Under the circumstance of high economic development society, tremendous resources and human effort have to be spent to investigate one’s buying behavior in selling a product or preparing a show. The reasons why need such resources and efforts are twofolds. One is the inefficiency of investigation mechanism which is usually accomplished by analyzing questionares or custom’s records. Another is the lacking of matching hardwares which is usually done by manual statistic analysis and data collection. In response to these needs, a vision-based custom purchasing behavior investigation system is proposed. In our system, a camera is mounted directly above the advertising merchandises to capture custom’s video sequence passing by. Through image analysis and pattern recognition, we can recognize the gender and age of consumers on which significant statistic data, such as the number of people staring at the merchandises, can be obtained.We plan to develop the system in three years. In the first year, we plan to accomplish two tasks including people counting and frontal face detection such that we can count the number of passengers who has interest to the merchandises. In the second year, we plan to analyze the walking behavior to recognize the gender and age of the passengers. In the meantime, the frontal faces of passengers who have interest in the merchandises will be captured. We will also analyze the frontal faces of passengers to confirm their gender and age. In the third year, three types of features will be analyzed to estimate the interest degree of the passengers who has interest to the merchandises. These three types of features include walking behavior, the period of eye staring, and facial expression. The whole system will be integrated in the third year also.
    關聯: 財團法人國家實驗研究院科技政策研究與資訊中心
    显示于类别:[資訊工程學系] 研究計畫

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML256检视/开启


    在NCUIR中所有的数据项都受到原著作权保护.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈  - 隱私權政策聲明