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

NCU Institutional Repository > 資訊電機學院 > 資訊工程學系 > 研究計畫 > Item 987654321/62940

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

題名:	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
貢獻者:	國立中央大學資訊工程系
關鍵詞:	資訊科學;軟體
日期:	2012-12-01
上傳時間:	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
顯示於類別:	[資訊工程學系] 研究計畫

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	295	檢視/開啟

在NCUIR中所有的資料項目都受到原著作權保護.

社群 sharing

資料載入中.....