即時手勢辨識系統應用於機上盒控制

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姓名

李經寧(Ching-Ning Lee) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

即時手勢辨識系統應用於機上盒控制
(A Real Time Hand Gesture Recognition System for Set-top Box Control)

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摘要(中)

手勢辨識(Gesture Recognition)是目前熱門研究的主題，應用的範圍非常廣，包括機器人操控，遊戲，或是家電的控制等，本論文目的在設計一個操作機上盒的人機介面，以一台攝影機即時擷取手勢影像，來達成即時手勢辨識目的，系統主要以CamShift方法動態追蹤手部並透過數位影像處理中的背景相減、形態學的運算及邊界偵測取出手部輪廓影像，而後依照手指指尖特徵找出手指並計算手指與手掌重心的角度，利用手指的數目與角度關係來判斷手勢指令，最後再透過紅外線發射裝置將指令送至機上盒。
結果驗證部份，我們定義八種手勢，分別由七位測試者針對五種狀況測試，整體平均辨識率為94.1%。

摘要(英)

Gesture recognition is a popular research topic at present, its application is broad which includes robot operation, controller for video games or other household appliances and etc. The purpose of this paper is to design a Human-Machine interface by using a video camera to capture live hand gesture to achieve the goal of hand gesture recognition. This system will track the hand movement using background subtraction, morphology and CamShift algorithm to extract the hand contour. After the hand contour is obtained, the system will then identify each finger according to its unique feature and calculate the angle between fingers and mass centre of palm, using the number of fingers and its angles to determine the command given by the gesture. Finally, the command will be passed to STB through an infrared transmitter.
For result verification we have defined 8 types of hand gesture, the experiment is conducted with 7 participants aiming at 5 scenarios. The average recognition rate is 94.1%.

關鍵字(中)

★ 手勢控制
★ 機上盒

關鍵字(英)

★ Gesture Control
★ STB

論文目次

摘要..................................................I
Abstract.............................................II
誌謝................................................III
目錄.................................................IV
圖目錄..............................................VII
表目錄...............................................XI
一、緒論..............................................1
1-1 研究動機..........................................1
1-2 研究目的..........................................1
1-3 論文架構..........................................2
1-4 相關文獻..........................................3
二、影像前處理.......................................10
2-1 色彩模型.........................................10
2-2 背景相減.........................................12
2-3 形態學...........................................13
2-3-1 侵蝕...........................................13
2-3-2 擴張 ..........................................13
2-3-3 斷開 ..........................................14
2-3-4 閉合...........................................14
2-4 標記演算法.......................................16
2-5 邊界搜尋法.......................................16
2-6 CamShift演算法...................................18
三、辨識方法及步驟...................................23
3-1 系統簡介.........................................23
3-1-1 開發環境.......................................23
3-1-2 機上盒規格.....................................23
3-2 手勢定義.........................................25
3-3 系統流程.........................................26
3-4 影像擷取.........................................28
3-5 手部擷取.........................................28
3-6 手指搜尋.........................................33
四、實驗與結果.......................................35
4-1 手指定位.........................................35
4-2 手勢判定規則.....................................37
4-3 手勢辨識實驗.....................................39
4-4 實驗結果分析.....................................48
4-5 機上盒操作實驗...................................49
五、結論與未來展望...................................53
5-1 結論.............................................53
5-2 未來展望.........................................53
參考文獻.............................................55

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指導教授

蘇木春(Mu-Chun Su)

審核日期

2009-12-28

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