- 學位論文
智慧型即時無人監控系統之建置
Development of Real-time Intelligent Unmanned Surveillance System
摘要
一般而言，數位影像處理技術應用在監控系統時，分為影像前處理與後處理兩部分。移動物件與背景分離為影像前處理部分最大課題。目前業界上普遍使用移動邊緣偵測法(Moving Edge Detection)以改善固定背景相減法及連續影像相減法所衍生的固定背景變動量大與連續影像殘影問題。但移動邊緣偵測法遇到移動物件靜止不動時變失去效用，本研究提出交疊式影像物件分離法以改善其問題。進行影像後處理分析，物件追蹤(Object Tracking)、軌跡記錄(Trajectory Recording)及分析，使用濾波(Filter)、型態學(Morphological)、連通(Adjacency)等技術時，已可以是一個近完整的影像。 在本論文中提出一套智慧型的監控系統，結合數位影像處理技術與視訊認知（Video Understanding）技術，針對戶外特定場所的人員進行辨識與追蹤，並擷取其移動軌跡資訊進行分析判斷是否有屬於異常或是危險的行為發生。即時發出警訊，以讓相關人員能夠立即處理；並將軌跡資訊全數建檔儲存在資料庫，作為後續事件檢索之研究應用。
並列摘要
Generally speaking, digital image processing technology includes Image Processing and Image Analysis. Object Extraction and Background Separation are two main topics of Image Processing. Moving Edge Detection is generally used to improve the problems of Static Background Subtraction & Temporal Differencing. To solve the problems of Moving Edge Detection, Double Image Separation Technique is proposed in this study. By applying, Object Tracking, Trajectory Recording, Filter, Morphological, and Adjacency, the perfect image can be obtained. In the thesis, a smart Surveillance System by combining digital image processing and Video Understanding has been developed. The system can be used to capture the people in some particular places and to analyze their motions. In case of emergencies, the system will connect to the police automatically and save all data for future application.