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研究生:黃盈睿
研究生(外文):Yin-Jui Huang
論文名稱:一個自動偵測人臉位置及決定最佳人臉代表之自動化系統
論文名稱(外文):An Automatic System for locating human face and determining the best representative among face photos
指導教授:林啟芳
學位類別:碩士
校院名稱:元智大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:64
中文關鍵詞:移動偵測人臉偵測最佳人臉
外文關鍵詞:Face detectionMoving detection
相關次數:
  • 被引用被引用:0
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  • 收藏至我的研究室書目清單書目收藏:1
隨著電腦設備的日漸進步及監控設備的普及化,透過後端電腦的處理讓傳統純監視的監控系統逐漸發展出更多附加的功能,尤其是利用電腦自動化來取代人力的使用更是最重要的發展。
本論文就針對自動化提出了一個自動偵測人臉位置及決定最佳人臉代表之自動化系統。其方法首先是利用預設背景與輸入影像相減求出前景區塊,及利用相鄰的連續影像序列得到移動資訊後,兩者運算即可得到前景移動物體的區塊範圍,之後系統就針對此區塊做膚色偵測,並利用眼睛的特徵驗證該膚色區塊是否為人臉,最後把所有儲存的人臉影像做評估運算找出最佳的人臉影像代表。
In the past few years, the need of detecting human faces plays an important role in many visual applications, and the amount of related technologies are growing rapidly. There are many technologies of human face location, and the method by using the skin color of face to segment the face scope is one of the most commonly used technologies. However, there are many problems about this method, so it is difficult to segment the human face correctly from the background when the background color is close to the skin color.
In this paper, we propose an automatic system for locating human face and determining the best representative among face photos. We combine several methods, including moving detection, skin color detection, and feature detection, to locate the positions of human face. When all detections is finished, the system will select the best representative among face photos.
摘要 iii
Abstract iv
第一章 緒論 1
1.1 研究背景與動機 1
1.2 相關研究 2
1.3 系統流程與架構 6
1.4 論文架構 6
第二章 基本概念 8
2.1 系統流程與概述 8
2.2 人類的膚色範圍與偵測 10
第三章 方法介紹 14
3.1 輸入連續影像序列與光線調整 14
3.2 前景移動物體偵測 16
3.3 針對移動物體膚色偵測 19
3.4 膚色區塊過濾與人臉眼睛特徵點偵測 23
3.5 最佳人臉代表判斷 30
3.6 區塊關聯性 32
第四章 實驗結果 33
4.1 實驗環境與設備 33
4.2 實驗結果 33
4.3 實驗結果圖表討論 57
第五章 結論與未來研究 58
5.1 結論 58
5.2 未來研究 58
參考文獻 60
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