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研究生:張國鋒
研究生(外文):Kuo-Feng Chang
論文名稱:影像處理在多移動目標物之追蹤
論文名稱(外文):Image Processing for Multiple Moving Objects in Surveillance and Recognition
指導教授:成維華成維華引用關係
指導教授(外文):Wei-Hua Chieng
學位類別:碩士
校院名稱:國立交通大學
系所名稱:機械工程系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:英文
論文頁數:57
中文關鍵詞:影像處理監視系統形狀特徵
外文關鍵詞:image processingsurveillance systemshape feature
相關次數:
  • 被引用被引用:11
  • 點閱點閱:1027
  • 評分評分:
  • 下載下載:362
  • 收藏至我的研究室書目清單書目收藏:2
在本文所提出的監視系統,可以針對多個移動物體做追蹤並且識別之,這個監視系統使用CCD camera對一場景做影像擷取的工作,這個監視系統有兩個主要的部分,一個部分是動態偵測,另一個則是資料庫。
動態偵測藉著找出連續影像之間的差異來偵測移動物體的出現。在找出移動物體之後,資料庫分析移動物體的幾何特徵,並將分析出來的資訊紀錄下來。之後,藉著這些特徵之間的相似性,作為分辨移動物體的依據。
本文所提出的系統使用一固定不動CCD camera,並假設入侵的移動物體必須是剛體。
This thesis proposes a surveillance system that tracks moving objects and recognize them. The surveillance system uses a CCD camera to monitor an area. The system has two main modules. One is the motion detection module. The other is the database module.
Motion detection extracts moving objects by the difference between consecutive image frames. The database module analyzes the shape features of moving objects and stores them in the database. The features of the new intrude object would be analyzed and distinguished based on the similarity of the features in database
Some assumptions are applied. The camera is stationary to capture image frames. The moving objects are rigid bodies.
摘要 i
Abstract ii
Acknowledgments iii
Contents iv
List of Figures vi
List of Tables viii
Chapter 1 Introduction 1
Chapter 2 Surveillance System for Multiple Objects 3
2.1 Scenario of the Surveillance System 3
2.2 Block Diagram of the Surveillance System 4
Chapter 3 Motion Detection 5
3.1 Image Process Algorithm 5
3.1.1 Image Smoothing 5
3.1.2 Edge Detection 7
3.1.3 Image Difference 8
3.1.4 Connected Components Labeling 8
3.1.5 Size Filter 12
3.2 Algorithm of Motion Detection 12
Chapter 4 Object Database 15
4.1 Features of The Object 15
4.1.1 Position 15
4.1.2 Area 16
4.1.3 Perimeter 16
4.1.4 Circularity 17
4.1.5 Spatial Moments 18
4.1.6 Lengths and Orientations of Ellipse Axes 20
4.2 Object Identification 22
4.2.1 Common Model for Recognition System 23
4.2.2 Implementation of the Classifier 24
Chapter 5 Implementation 26
5.1 Description of Hardware and Software 26
5.2 Implementation of Motion Detection 26
5.3 Implementation of Object Identification 27
Chapter 6 Conclusion 30
Reference 32
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