臺灣博碩士論文加值系統

This work deal with the design of distributed video surveillance system. Our purpose is to realize an embedded video surveillance system capable of video streaming back to a remote server, detecting and tracking any moving object using pan-tilt cameras. The constructed system should be perfectly monitorable from the remote server.
We can say that we have achieved this goal by using embedded technology, socket programing, computer vision resources (algorithms) and distributed system design method. The algorithm used for detection is a background subtraction technique namely temporal frame difference. To be able to locate and track the detected object we made use of camshift algorithm.
The built system is composed of four client boards and one server PC. Client’s subsystem is based on an embedded processor (Beagleboard xM) and an embedded microcontroller (MSP430F5438). A pan-tilt camera is also part of each client’s subsystem. From the remote server we make use of one two or three cameras to detect and track the same target. We also can form tracking groups each composed of two cameras to track the two different targets. So, the four cameras are considered as a compound eye of our surveillance system.
The major contribution of this work is without doubt the cooperative tracking technique we have implemented. In fact, by using a leader election algorithm, we elect a leader. This leader will then select it direct neighbors (followers) and get them involved in the tracking process. With this approach we get a good cooperative tracking results. Moreover the pan–tilt system automation provide a multi-view of the monitoring scene. At last the embedded technology devices we chose give our system good computation capabilities, mobility and real-time ability.

TABLE OF CONTENTS

Acknowledgements i
Abstract ii
Table of contents iii
List of Tables v
List of figures vi
List of appendixes vii

Chapter 1 Introduction 1
1.1 Introduction 1
1.2 Target group 3
1.3 Personal motivation 3
1.4 Structure of the report 4

Chapter 2: Literature review 5
2.1 Introduction 5
2.2 How distributed surveillance system has evolved over
years? 5
2.3 What have been already done in term of distributed
surveillance systems design and implementation? 8
2.3.1 System based on ARM S3C2410/S3C2440 processor 8
2.3.2 System based on Davinci technology processors 9
2.4 Knowing some computer vision algorithms for better
choice 11
2.4.1 Moving object detection 11
2.4.2 Detected object tracking 11
2.5 Conclusion and challenges 12

Chapter 3 System design and implementation 14
3.1 System’s Architecture Overview 14
3.1 15
3.2 Physical architecture overview 15
3.2.1 The system’s component framework 16
3.2.2 Schematic diagram of hardware 16
3.3 Logical architecture overview 19
3.3.1 Beagleboard xM 20
3.3.2 MSP430F5438 kit 21
3.3.3 Server PC 21
3.4 Functional description of the system 22
3.4.1 Mode 1: video streaming (fixed camera) 22
3.4.2 Mode 2: video streaming and Pan Tilt system control
25
3.4.3 Mode 3 video streaming and single object cooperative
tracking 26
3.4.4 Mode 4: video streaming and multiple objects
cooperative tracking 32
3.5 Cost Estimation 32
3.6 Remarks 33

Chapter 4: Experimental Results 34
4.1 Video streaming 34
4.2 Pan tilt system automation 36
4.3 Moving object detection and noise filtering 37
4.4 Tracking 39
4.4.1 Single object Cooperative tracking 39
4.4.2 Multi-object cooperative tracking 42
Conclusion 43
References 45
Appendixes 49

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