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Student Number 92522028
Author Kai-Chun Yuan(袁凱群)
Author's Email Address 92522028@cc.ncu.edu.tw
Statistics This thesis had been viewed 1379 times. Download 1085 times.
Department Computer Science and Information Engineering
Year 2004
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title Illegal Entrant Detection in Restricted Area
Date of Defense 2005-07-01
Page Count 58
Keyword
  • event detection
  • object detection
  • object tracking
  • video surveillance
  • watershed segmentation method
  • Abstract Due to the cost-down of capturing devices, surveillance systems are gradually widely applied in our daily life. However, the main function of current surveillance systems only focus on the recoding of video data. Besides, a lot of attention has to be paid by the surveillants in monitoring the video data. The developing of an automatic and intelligent surveillance system to detect, track, recognize, and analyze moving objects is an effective solution for saving the human resources.
    The main purpose of this thesis is to detect illegal entrants in restricted areas. Since a legal entrant in restricted areas always wears uniform, the color information of uniform is extracted to serve as the feature for determining whether an entrant is legal or not. Firstly, background subtraction technique is employed to detect moving objects from image sequences. Three key features including object position, object size, and object color are extracted to track the detected object. After that, the body of entrant is segmented into three regions; head, upper body and lower body, using the watershed segmentation methods. Finally, color features extracted from the region of interesting (ROI) are utilized to classify the legality of an entrant.
    Experiments were conducted to verify the feasibility and validity of our proposed system in detecting and tracking illegal entrants in restricted areas. The results is satisfactory.
    Table of Content 第一章 緒論1
    1.2 相關研究2
    1.3 系統流程4
    1.4 論文架構5
    第二章 目標物偵測與追蹤6
    2.1 目標物與陰影偵測7
    2.2 目標物追蹤13
    2.2.1 目標物對應13
    2.2.2 目標物之色彩特徵17
    第三章 頭與身體區域偵測20
    3.1 區塊產生21
    3.1.1 影像簡單化22
    3.1.2 梯度計算24
    3.1.3 泛流處理26
    3.1.4 區塊合併27
    3.2 身體模組29
    3.2.1 頭部區塊偵測29
    3.2.2 上半身與下半身區塊偵測34
    第四章 色彩特徵抽取與分類36
    4.1 制服色彩統計36
    4.2 色彩特徵抽取40
    4.3 色彩特徵分類41
    第五章 實驗結果44
    5.1 偵測區域之劃定44
    5.2 目標物偵測45
    5.3 身體區域區分46
    5.4 進入者身分判別47
    第六章 結論與未來工作54
    6.1 結論54
    6.2 未來工作55
    參考文獻56
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    [3]O. Javed, K. Shafiqu and M. Shah, “A hierarchical approach to robust background subtraction using color and gradient information,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 22-27, 2001.
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    [14]ISO/IEC 15938-3:2001, “Multimedia Content Description Interface-Part 3: Visual,“ Version 1.
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    [17]B. Hill, Th. Roger and F.W. Vorhagen, “Comparative analysis of the quantization of color spaces on the basis of CIELab color-difference formula,” ACM Trans. Graphics, VOL. 16, pp. 109-154, 1997.
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    [19]L.G. Shapiro and G.C. Stockman, “Computer Vision,” New Jersey: Prentice Hall, 2001.
    [20]蘇木春, 張孝德, “機器學習:類神經網路、模糊系統以及基因演算法則”, 全華科技圖書股份有限公司, 2003.
    Advisor
  • Kuo-Chin Fan(范國清)
  • Files
  • 92522028.pdf
  • approve immediately
    Date of Submission 2005-07-15

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