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研究生:周爾君
研究生(外文):O-Chun Chou
論文名稱:基於Adaboosting人臉追蹤與偵測經由雲端運算技術研究廣告牌之關注程度
論文名稱(外文):A Study on Advertisement Concern through Cloud Computing Technology Based on Adaboosting Algorithm of Face Detection and Tracking
指導教授:駱榮欽駱榮欽引用關係
指導教授(外文):Rong-Chin Lo
口試委員:楊靖宇吳明川
口試委員(外文):Ching-Yu YangMING-CHUAN WU
口試日期:2012-07-29
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:自動化科技研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:56
中文關鍵詞:人臉偵測雲端運算科技adaboosting演算法廣告分析廣告效益TOPSIS
外文關鍵詞:AdaboostingFace DetectionCloud Computing TechnologyAdvertisement ConcernTOPSIS
相關次數:
  • 被引用被引用:1
  • 點閱點閱:218
  • 評分評分:
  • 下載下載:35
  • 收藏至我的研究室書目清單書目收藏:1
近年來智慧型手機的普遍性,使得其周邊相關之應用蓬勃發展,以及雲端運算概念的發酵,透過網路相互交換訊息,使得人們在生活上得到了巨大的便利性和資料取得與分析的快速性。而在現今這分秒必爭的時代,有效的廣告效益對於開發者的投資與決策是很重要的,因此如何經由快速便利的智慧型手機進資料蒐集來分析廣告效益,是此論文主要的研究。
本論文提出了以Adaboosting為基礎追蹤消費群的人臉和人眼,開發平台則以Android作業系統的智慧型手機進行對於廣告之關注程度的追蹤,同時透過雲端運算的概念,建立一資料庫,將資料蒐集的結果回傳至雲端資料庫以進行統計與分析後,再利用TOPSIS法自動算出最佳的結果並回傳給使用者,藉此得知開發者的廣告是否符合效益,若不符合效益可進行廣告整體架構或局部之改善。


The universality of the smartphones in recent years around the application flourish related to its peripheral products with the development of the cloud computing concept through the mutual exchange of messages in the internet, the development of the cloud computing technology, through the mutual exchange of messages, people can get more convenience and faster in the data acquisition and analysis in life. Today, how to create effective advertising benefits of investment and decision making is very important for the investment of the developers, through quick and convenient intelligent mobile phone to collect the data to analyze advertising effectiveness. The topic is the major research in this paper.
This paper presents a method of face and eye detection based on adaboosting Algorithm, the development platform is Android operating system with good openness for smartphones, through of cloud computing technology builds a database, and the results back to the database for statistics and analysis,then automatically compute the best results and back to the user by TOPSIS method. Finally the efficiency and effectiveness of the proposed methods let us know the benefits is good or not for advertising overall schema and local of improvement.


中文摘要 i
ABSTRACT ii
誌謝 iii
TABLE OF CONTENTS iv
LIST OF TABLES v
LIST OF FIGURES vi
Chapter 1 Introduction 1
1.1 Research Motivation 1
1.2 Relative Researches and Applications 2
1.3 Brief Description of This Research System 6
1.4 The Research Framework and Theoretical Basis 8
Chapter 2 Reference Document Discussion and Analysis 9
2.1 Android 9
2.2 Cloud Computing 12
2.2.1 TCP/IP and HTTP 13
2.3 Apache, PHP, and MySQL 17
2.3.1 Apache HTTP server 17
2.3.2 PHP 17
2.3.3 MySQL 18
2.4 Multiple Criteria Decision Making 19
2.4.1 TOPSIS 20
Chapter 3 Adaboosting for Faces Detection 23
3.1 Haar-like Feature 23
3.2 Adaboosting Algorithm 26
3.3 Cascade Classifier 29
Chapter 4 Architecture of System Design 31
4.1 Indoor Environment design 31
4.2 Outdoor Environment design 35
4.3 System Architecture 39
Chatper 5 Experiments and Results 43
Chapter 6 Conclusion 53
REFERENCE 54


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[18] “TCP/IP rfc1180” Available: http://tools.ietf.org/html/rfc1180
[19] “Yale Face Database” Available: http://cvc.yale.edu/projects/yalefaces/yalefaces.html
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[22] MIL-STD-1472F, DEPARTMENT OF DEFENSE DESIGN CRITERIA STANDARD: HUMAN ENGINEERING (23 AUG 1999)


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