利用粒子濾波器追蹤限制區域內非法進入者

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姓名

林準(Zhun Lin) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

利用粒子濾波器追蹤限制區域內非法進入者
(A Particle Filter based method for Tracking Illegal entrant in restricted area)

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摘要(中)

目前的監控系統，由於取像設備成本越來越低，使得日常生活中取得設備也變的容易。有別於以往只能提供事後資訊的錄影監控，利用電腦視覺的方法，能讓監控系統可以自動的分析影像，以達到即時警報與追蹤的目標。
本論文提出一個使用PTZ攝影機追蹤限制區域非法入侵者的系統，不同於過去限制區域非法入侵偵測只能侷限在固定視角，限制區域範圍太小的限制，利用上衣色彩為特徵判斷進入限制區域的人員是否合法，再使用PTZ攝影機的旋轉視角功能持續追蹤非法入侵者。首先利用背景相減法偵測出目標，使用一個分割演算法將目標的上半身區域分割出來，針對目標上衣區域色彩與預先設定合法上衣色彩資訊比對，判斷出是否為非法入侵者，若是非法入侵則開始追蹤目標物，目標物超出追蹤畫面就使用旋轉功能持續追蹤。
實驗結果證明，本論文所提出的系統是可以使用在較大的限制區域進行非法入侵者追蹤。

摘要(英)

Unlike the traditional surveillance systems which only consist of one or several capturing devices, in this thesis we incorporate the PTZ camera with the computer vision techniques. By doing so, the surveillance system can analyzes the moving objects automatically and provide real-time alerts if necessary.
In this thesis, we propose a particle filtering based method to identify and track illegal invaders in restricted area using a PTZ camera. The advantage of our method is that can track illegal entrants in wider space, unlike the detecting illegal entrants in restricted area over the past, which is limited to a fixed perspective, the scope of the restricted area is too small constraints, First of all, we employ a robust background subtraction method to detect the moving object. Then we use the watershed segmentation algorithm to extract the upper body of the moving object. Afterwards we compare the color features of the upper body with the template to determine the legality of the entrant. Once the illegal entrant is detected, the system will track the moving object using PTZ camera. Since no background information can be obtained after panning the camera, we employ the particle filtering technique to cope with this problem.
Experimental results show the feasibility and validity of the proposed method under several environments. The proposed method provides satisfactory results which prove that the system can be applied to some places such as post office or storage.

關鍵字(中)

★ 粒子濾波器
★ 非法進入

關鍵字(英)

★ Particle Filter
★ Illegal entrant

論文目次

Abstract i
摘要 ii
目錄 iv
附圖目錄 vi
附表目錄 vii
第一章緒論 1
1.2 相關研究 2
1.3 系統流程 3
1.4 論文架構 4
第二章目標物偵測 5
2.1 建立背景模組 6
2.2 背景相減與陰影偵測 9
第三章身體區域偵測 13
3.1 分水嶺分割法 13
3.1.1 影像簡單化 15
3.1.2 梯度計算 16
3.1.3 泛流處理 18
3.1.4 區塊合併 19
3.2 身體模組 21
3.2.1 頭部區塊偵測 21
3.2.2 上半身區塊偵測 25
第四章目標物追蹤 26
4.1 目標物辨識 26
4.1.1 色彩密度函數 26
4.1.2 Bhattacharyya係數 28
4.2 Particle Filter 30
4.2.1 Particle Filter架構 30
4.2.2 Particle Filter參數 32
4.2.3 Particle Filter實作 35
第五章實驗結果 38
5.1 偵測區域之劃定 38
5.2 追蹤結果 39
5.3 結果分析 43
第六章結論與未來工作 45
6.1 結論 45
6.2 未來工作 46
參考文獻 47

參考文獻

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指導教授

范國清(Kuo-Chin Fan)

審核日期

2009-7-30

推文