||Study on Fusion of Omni-directional and PTZ Cameras for Moving Object Detection and Tracking
||Department of Electrical Engineering
vision surveillance system
In recent years, vision surveillance and monitoring systems are issues of high concern. The research topics include computer vision, communication among multi-cameras and data fusion. A panoramic vision surveillance system consists of an omni-directional and a PTZ cameras is implemented in this thesis. With the full field of view (FOV) property of the omni-directional camera, the path and direction of moving objects in the scene can be both tracked and predicted by multi-cue tracking and a Kalman filter, respectively. For information fusion, the architecture of the control would be divided into master-slave control and cooperative control according to the types of PTZ camera movement. In master-slave control, the movement of PTZ camera depends on the moving object azimuth of an omni-directional camera. In cooperative control, a PTZ camera would obtain its target template by SDG background compensation after receiving the omni-directional camera command. Subsequently, the PTZ camera can automatically track the target once successfully acquiring the features of the target, and continuously lock the target into the center of the screen. From the experimental results, the surveillance system can continuously detect and track in an indoor environment. As a result, a panoramic surveillance system combining an omni-directional and a PTZ cameras is successfully implemented in this thesis.
第一章 緒論 1
1.1 前言 1
1.2 研究動機與目的 4
1.3 文獻回顧 4
1.4 本文架構 6
第二章 攝影機簡介 7
2.1 前言 7
2.2 PTZ攝影機 8
2.2.1 一般攝影機之透視投影模型 8
2.2.2 一般攝影機之內部參數校正 10
2.3 全景攝影機 11
2.3.1 全景攝影機簡介 12
2.3.2 全景攝影機之單一視點（SVP）限制 13
2.3.3 全景攝影機之投影模型與內部參數 15
2.3.4 全景攝影機校正之內部參數 18
2.4 雙攝影機校正 19
2.4.1 雙攝影機之對應幾何 20
第三章 全景攝影機目標物偵測與追蹤 26
3.1 前言 26
3.2 全景攝影機之前景偵測 26
3.2.1 前景偵測 26
3.2.2 適應性背景減去法 29
3.3 全景攝影機之多目標物追蹤 32
3.3.1 全景攝影機影像分析 33
3.3.2 目標物追蹤機制移動物之連通物件分析 34
3.3.3 目標物追蹤預測 42
188.8.131.52卡爾曼濾波器（Kalman Filter） 43
第四章 PTZ攝影機目標物偵測與追蹤 46
4.1 前言 46
4.2 PTZ攝影機之控制架構 47
4.2.1 主被動式控制架構 47
4.2.2 合作式控制架構 47
4.3 PTZ攝影機之目標物偵測 51
4.3.1 背景補償法 51
4.3.2 SDG模型 58
4.4 PTZ攝影機之目標物追蹤 64
4.4.1 雙重目標物特徵比對法 64
第五章 雙攝影機視覺監控系統之實現 71
5.1 實驗硬體設備簡介 71
5.1.1 電腦設備 71
5.1.2 全景攝影機 72
5.1.3 Sony EVI-D70 PTZ攝影機 73
5.1.4 UPMOST UPG305 USB影像擷取卡 75
5.2 系統介面設計與運作流程 77
5.3 實驗結果 78
5.3.1 全景攝影機與PTZ攝影機之對應關係 78
5.3.2 全景攝影機多目標物追蹤 81
5.3.3 全景攝影機與PTZ攝影機之視覺監控系統 89
第六章 結論與建議 97
6.1 結論 97
6.2 未來展望與建議 98
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