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研究生:楊山河
研究生(外文):Shan-Ho Yang
論文名稱:具物體追蹤與影像重點擷取之人臉監控系統研究
論文名稱(外文):A HUMAN-FACE SURVEILLANCE WITH CLOSE-UP PICTURES CAPTURING
指導教授:李建誠李建誠引用關係
學位類別:碩士
校院名稱:元智大學
系所名稱:通訊工程學系
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:2007
畢業學年度:95
語文別:中文
論文頁數:45
中文關鍵詞:監控系統
外文關鍵詞:surveillance system
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本論文研製之目的在於提出一種利用具有可控制攝影機的監控系統來擷取人的臉部特寫。在現今已知的監控系統中,大部份都是拍攝固定區域,而且只單純追蹤影像中人物的軌跡或者是抓取影像中的人臉;但是當人物距離攝影機較遠的時候,就無法獲得更仔細的資訊。本實驗利用離散小波轉換來去除雜訊及增進計算效能,並以背景相減及邏輯AND運算的方式來取得移動區域,接著使用膚色偵測來過濾出人體區域。藉由人體區域可以計算出移動向量,然後再根據移動向量的方向來預測人物下一步會到達的位置,並且依據移動向量的大小來設定攝影機的旋轉速度,以達到控制攝影機來拍攝臉部特寫的目的。
A procedure is proposed to use a controllable video camera to obtain the close-up of the human face. The surveillance systems developed in the last years focused on a fixed area. Most of the systems tracked the trajectories of the people and the others only captured the small-scale picture of the human body because the people were far away from the video camera. The discrete wavelet transform is used to reduce the effect of the noises of the video camera and improve the computational efficiency. Then the moving regions are detected by the background subtraction and the logic AND operation. Hence the human body regions are derived from the moving regions by detecting the skin color, and those are used to calculate the motion vectors. Then the direction of the motion vector is used to control the direction of the panning and the tilting directions of the video camera and its norm is adopted to set the speed parameters of the panning and the tilting of the video camera.
書名頁 ……………………………………………………………… i
論文口試委員審定書 ……………………………………………… ii
授權書 ……………………………………………………………… iii
中文摘要 …………………………………………………………… iv
英文摘要 …………………………………………………………… v
誌謝 ………………………………………………………………… vi
目錄 ………………………………………………………………… vii
表目錄 ……………………………………………………………… viii
圖目錄 ……………………………………………………………… ix
一、 緒論 ……………………………………………………… 1
1.1 研究動機 ………………………………………………… 1
1.2 研究目的 ………………………………………………… 2
1.3 文獻回顧 ………………………………………………… 3
二、 系統運作情境 …………………………………………… 8
2.1 前處理 …………………………………………………… 11
2.1.1 色彩空間的選擇 ………………………………………… 12
2.1.2 去除雜訊 ………………………………………………… 22
2.2 人體區域之偵測 ………………………………………… 23
2.2.1 偵測移動區域 …………………………………………… 24
2.2.2 偵測膚色區域 …………………………………………… 28
2.3 攝影機的控制 …………………………………………… 31
2.3.1 置中人體區域 …………………………………………… 31
2.3.2 追蹤及拍攝特寫 ………………………………………… 35
2.3.3 拍攝後的確認 …………………………………………… 36
2.3.4 攝影機的歸位 …………………………………………… 37
三、 實驗結果 ………………………………………………… 39
四、 結論與展望 ……………………………………………… 42
參考文獻 …………………………………………………………… 43
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