智慧監控平台與其前景切割硬體架構設計

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姓名

楊景欽(Ching-Chin Yang) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

智慧監控平台與其前景切割硬體架構設計
(Intelligent Surveillance Platform and Hardware Architecture of Foreground Detection)

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摘要(中)

計算機視覺領域中的多物體檢測和遮擋情形的跟?是一個重要的研究課題，但大多數物體跟?算法太過於複雜，並不適用於即時的跟?系統。本文提出了一種擁有快速的處理速度的多物件跟?方法，並且能夠有效的處理遮避情形。該方法主要改進了前景檢測系統，以獲得低複雜度和高質量的成果，並與其他背景減除技術進行比較，實驗圖表明，這種方法在計算速度和檢測率方面優於其他前景檢測方法。為了有效率的跟?運動物件，我們使用物件標記的方法來消除雜訊和將運動物件進行分組。另外，還通過使用對象的軌跡預測和邊緣分析，提出了遮擋狀態下的三種處理情況:交錯情況，分離情況和單一標籤下有多物件的情況。利用這些方法，我們可以實現一套能穩定追蹤多個物件的系統，並且不用使用到物件的顏色資訊和外觀模型。最後，我們對前景切割演算法進行硬體架構的實現，在TSMC 90nm的製程下擁有150 MHz操作頻率，在這頻率下，能夠即時處理1080p的影像資訊，而我們也在FPGA (Altera Sockit)上進行驗證，擁有50MHz的操作速率，並且將處理結果透過VGA顯示在螢幕上。

摘要(英)

Multi-object detection and occlusion tracking in the computer vision field is an important research topic, but most objects tracking algorithms are too complex and not practical for the real-time tracking system. This paper proposes a real-time occlusion-adaptive tracking method approach to resolving this issue. This method mainly improves the foreground detection to get low-complexity and high-quality effect. It also compares with other background subtraction techniques. Experimental figures show this method outperforms other foreground detection methods in terms of both computation speed and detection rate. For tracking moving objects, the proposed method uses the labeling to eliminate noises and group moving objects. In addition, it also proposed the processing cases of occlusions, including staggered case, separation case and multi-object in single label case, by using object′s trajectory and edge. With this method, we can track the moving objects in the successive frame without color cues and appearance model in the real-time surveillance system. Finally, we implemented the hardware architecture of the foreground detection algorithm with a 150 MHz operating frequency at TSMC′s 90 nm process. In this operating frequency, we can process 1080p image with 30 frames per second. And we are also working on the FPGA (Altera Sockit) for verifying. The results will be displayed on the screen through the VGA in 50MHz operating rate.

關鍵字(中)

★ 背景模型
★ 物件追蹤
★ 閉塞情形
★ 監控系統

關鍵字(英)

★ Background Model
★ Object Tracking
★ Occlusion
★ Surveillance System

論文目次

摘要 I
ABSTRACT II
TABLE OF CONTENTS III
LIST OF FIGURES V
LIST OF TABLES VII
CHAPTER 1 緒論 1
1.1 研究動機與目的 1
1.2 相關技術背景 2
1.3 研究方法 5
1.4 論文架構 7
CHAPTER 2智慧監控平台的軟體設計 8
2.1 前景切割 9
2.2 連通區域標記 15
2.2.1 物件標籤 15
2.2.2 雜訊過濾 18
2.3 物件群組化 20
2.4 物件追蹤 21
2.5 閉塞情形的解決方案 24
2.5.1 交錯物件的閉塞情形 25
2.5.2 物件分離的閉塞情形 26
2.5.3 單一標籤多物件的閉塞情形 27
2.6 智慧控制系統應用 28
2.6.1 智慧控制系統-舉手辨識 29
2.6.2 跌倒偵測 30
CHAPTER 3前景切割系統的硬體架構設計 33
3.1 前景切割硬體演算法概觀 34
3.2 CONTROLLER 36
3.2.1 FINITE STATE MACHINE 36
3.2.2 MEMORY CONTROLLER 39
3.3 COMPUTING UNIT 40
3.3.1 SHIFT REGISTER ARRAY 40
3.3.2 GAUSSIAN FILTER 41
3.3.3 BACKGROUND UPDATING 43
3.4 FPGA IMPLEMENTATION 43
CHAPTER 4實驗結果 45
4.1 軟體成果展現 46
4.1.1 前景切割系統 46
4.1.2 多物件追蹤 49
4.1.3 智慧控制平台應用於嵌入式系統 51
4.2 硬體成果展現 55
CHAPTER 5結語 58
REFERENCES 59

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指導教授

蔡宗漢(Tsung-Han Tsai)

審核日期

2017-4-14

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