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研究生: 李秉臻
Ping-chen Li
論文名稱: 基於影像而無須內容認知之長者行動監測
Content-Independent Image Monitoring for Elders' Motion
指導教授: 蘇順豐
Shun-Feng Su
口試委員: 姚立德
none
郭重顯
none
莊鎮嘉
none
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2009
畢業學年度: 97
語文別: 英文
論文頁數: 86
中文關鍵詞: 區域獨立影像處理系統跌倒昏迷偵測像素值累積法位置偵測行為偵測
外文關鍵詞: content-independent image processing system (CII, detection of falling behaviors and unconscious s, pixel value accumulation method, location detection, motion detection
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  • 隨著全球社會人口年齡分布趨向老人化,及現代人少子化的觀念,老年人的人口比例日益漸增,長者的日常生活環境愈也來越受重視,其中尤以獨居老人的居家安全更為被大眾廣泛的討論及研究。本文提出一個完全嶄新的偵測概念-區域獨立影像處理系統(CIIP system),其係將無線可攜式針孔攝影機配戴於使用者身上,並利用簡單的影像處理演算法,便可成功有效的偵測獨居長者之跌倒甚而昏迷的狀態。將此系統合併識別標籤後,便可達到判別使用者所在位置之目的。最後,文中提出一個全新的影像訊號處理技巧-像素值累積法(pixel value accumulation method),藉由這個方法合併相關係數運算(cross correlation)與其他簡易的影像處理技巧,可在區域獨立影像處理系統中,識別出受偵測者之簡單移動行為。


    Because the population distribution of global societies is toward aging and the trend of fewer children born in the present generation, the percentage of elders will be higher and higher in the future. At the same time, in order to improve the life quality of elders, many researchers have paid much attention on the study of smart home to provide various techniques in equipping the environment with more capability to help elders in various ways. The regular life safety of elders who live alone is especially discussed, investigated and researched widely. A novel detection conception-content-independent image processing system (CIIP system) is designed and suggested in this study. The falling behaviors and unconscious situations of aged people can be identified successfully and effectively by putting and fixing a wireless mini camera on users and taking advantage of several simple digital image processing skills. Combining this proposed system with color markers, the goal of locating user’s position is achieved. Lastly, a whole new image signal processing manner-pixel value accumulation method is created and recommended in this thesis. Merging this method with the cross correlation operator and other common image processing techniques, uncomplicated movements of users can be identified in CIIP system.

    摘要 I Abstract II 誌謝 III Contents IV List of Figures VI List of Tables IX Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Environment 3 1.3 Thesis Organization 4 Chapter 2 Basics of Digital Image Process 5 2.1 RGB Color Space Model 5 2.2 Gray Image and Binary Image 6 2.3 Image Subtraction 7 2.4 Filters 8 2.5 Morphological Techniques 9 2.6 Component Labeling 11 2.7 Edge Detection 13 Chapter 3 Content Independent Image Processing based Fall Detection 15 3.1 Simple CIIP with 30 FPS 15 3.2 CIIP with HPF and Opening Operation 18 3.3 CIIP with Different FPS and Square Elements 20 3.4 The Proposed CIIP Falling Identification System 21 Charter 4 Content Independent Image Processing based Location Detection 34 4.1 Purposes and Environment 34 4.2 Color Marker Detection 35 4.3 Experiments of Color Markers Detection 41 Chapter 5 Content Independent Image Processing based Motion Detection 43 5.1 Full Search Method in Motion Detection 43 5.2 Trace of AC (Center of Area) Method 47 5.3 Coding Method 50 5.4 Pixel Value Accumulation Method (Gray Value) 54 5.5 Pixel Value Accumulation Method (Binary Value) 66 Chapter 6 Conclusions and Future Work 72 6.1 Conclusions 72 6.2 Future Work 73 Reference 74

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