Title page for 983203107


[Back to Results | New Search]

Student Number 983203107
Author zhan-you Wu(伍展佑)
Author's Email Address No Public.
Statistics This thesis had been viewed 306 times. Download 5 times.
Department Mechanical Engineering
Year 2010
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title 高效能駕駛狀態監控系統之研發
Date of Defense 2011-07-21
Page Count 81
Keyword
  • Driver state detection
  • Driving safety support systems
  • Face recognition
  • Image recognition
  • PERCLOS.
  • Abstract Some human errors such as driver fatigue and distraction are the main reason for traffic accidents in Taiwan. In this thesis, we develop a real-time, non-contact and high-Performance driver status detection system. Through image analysis, the system can estimate the state of the driver, such as distraction and fatigue. The system tracks the driver's head and eyes by motion detection, edge detection, brightness detection, template matching, connected component labeling algorithm and feature analyzing. Then determine the direction of the driver's face by Position of head and eyes. Finally, the system calculates the direction of the driver's face and PERCLOS to determine the status of the driver.
    In this study, we test the system in many factors including eyeglasses, skin color, hair, head size and complexity of the background, brightness and backlight on a real car. We found that in most cases, the errors of facing direction are within 4°, and the detection rate of eyes closed in more than 99%. In the worst case, the errors of facing direction are within 8.5°, and the detection rate of eyes closed in more than 78.85%. It confirmed that the system has good recognition ability. In the future, we will combine audio or vibration alert device to avoid traffic accidents.
    Table of Content 摘要i
    ABSTRACTii
    誌謝iii
    目錄iv
    圖目錄vii
    表目錄x
    符號說明xi
    第一章 緒論1
    1-1 研究動機1
    1-2 研究目的2
    1-3 論文架構4
    第二章 相關文獻5
    2-1 影像辨識之應用5
    2-2 影像辨識之方法5
    第三章 影像處理方法10
    3-1 系統架構流程10
    3-2 頭部搜尋與追蹤10
    3-2-1 灰階處理10
    3-2-2 移動偵測13
    3-2-3 邊緣偵測15
    3-2-4 建立頭部橢圓樣板17
    3-2-5 搜尋與追蹤模式之橢圓樣板比對19
    3-3 眼睛搜尋與追蹤22
    3-3-1 自動測光與二值化處理22
    3-3-2 連通域標記演算法24
    3-3-3 建立眼睛樣板27
    3-3-4搜尋與追蹤模式之眼睛樣板比對31
    3-3-5 眼睛開闔狀態判斷34
    3-4 分心與疲勞之判斷35
    3-4-1 面朝方向估計與分心判斷35
    3-4-2 閉眼時間比例估計與疲勞判斷38
    3-5 實驗方法39
    3-5-1 系統軟硬體39
    3-5-2 系統驗證44
    3-5-3 臉部外型46
    3-5-4 實車環境48
    第四章 結果與討論51
    4-1 系統驗證51
    4-1-1 面朝方向判斷51
    4-1-2 閉眼判斷54
    4-2 臉部外型之影響55
    4-2-1 眼鏡之影響56
    4-2-2 膚色之影響57
    4-2-3 髮型之影響57
    4-2-4 頭部大小之影響58
    4-3 實車環境之影響59
    4-3-1 背景複雜度之影響59
    4-3-2 環境亮暗之影響59
    4-3-3 對向車眩光之影響60
    4-4 最差因素組合61
    第五章 結論與未來發展方向63
    5-1 結論63
    5-2 未來發展方向64
    參考文獻66
    Reference [1]內政部警政署,內政部警政署統計通報,上網日期:民國100 年7 月,網址:http://www.npa.gov.tw/NPAGip/wSite/lp?ctNode=12594&xq_xCat=16&nowPage=2&pagesize=15&mp=1。
    [2]林家吉, “利用人臉辨識追蹤系統於鎖定物體之保護”, 逢甲大學資訊電機工程學系碩士論文, 2008.
    [3]曹力仁, “不均勻照度環境的駕駛昏睡偵測與警示”, 國立中央大學資訊工程研究所碩士論文, 2008.
    [4]曾凱群, “應用影像辨識設計疲勞偵測系統”, 國立台北教育大學資訊科學系碩士論文, 2008.
    [5]何肇偉, “人臉辨識應用於電腦使用者眼睛保護之研究”, 國立台北科技大學機電整合研究所碩士論文, 2002.
    [6]Davis, J. W. and Keck, M. A., “A two-stage template approach to person detection in thermal Imagery,” Proc. IEEE International Workshop on Applications Computer Vision, vol.1, pp. 364-369, January 2005.
    [7]Zhu, Z. and Ji, Q., “Robust Real-Time Eye Detection and Tracking Under Variable Lighting Conditions and Various Face Orientations”, Computer Vision and Image Understanding, Vol. 98, No. 1, 2005, pp.124-154.
    [8]Hansen, D.W. and Hammoud, R.I., “An improved likelihood model for eye tracking”, Computer Vision and Image Understanding, Vol. 106, 2007, pp.220-230.
    [9]Chai, D. and Ngan, K.N., “Locating Facial Region of a Head-and-Shoulders Color Image,” Proc. Third Int’l Conf. Automatic Face and Gesture Recognition, pp. 124-129, 1998.
    [10]Soriano, M., Huovinen, S., Martinkauppi, B. and Laaksonen, M.,“Using the skin Locus to cope with Changing Illumination Conditions in Color-Based Face Tracking,” Proc. of IEEE Nordic Signal Processing Symposium, pp. 383-386, 2000.
    [11]Singh, Sanjay Kr., Chauhan, D. S., Vatsa Mayank and Singh Richa, “A Robust Skin Color Based Face Detection Algorithm,” Tamkang Journal of Science and Engineering, Vol.6, No.4, pp. 227-234, 2003.
    [12]Chung, Y. C., Wang, J. M. and Chen, S. W., “ Progressive Background Image Generation”, Proceedings of 15th IPPR Conf. on Computer Vision, Graphics and Image Processing, pp 858-865, 2002.
    [13]Phung, S. L., Bouzerdoum, A. and Chai, D., “A Novel Skin Color Model in YCbCr Color Space and Its Application to Human Face Detection” , Proceedings of the International Conference on Image Processing, vol. 1, pp 289 – 292, 2002.
    [14]Gottumukkal, R. and Asari, V.K., “Real Time Face Detection from Color Video Stream Based on PCA Method”, Proc. of 32nd Applied Imagery Pattern Recognition Workshop, 2003, pp.146-150.
    [15]Morris, T., Blenkhorn, P. and Zaidi, F., “Blink detection for real-time eye tracking”, Journal of Network and Computer Applications, Vol. 25, No. 2, 2002, pp.129-143.
    [16]Bhaskar, T.N., Keat, F.T., Ranganath, S. and Venkatesh, Y.V., “Blink Detection and Eye Tracking for Eye Localization”, TENCON 2003 Conf. on Convergent Technologies for Asia-Pacific Region, Vol. 2, 2003, pp.821-824.
    [17]Chau, M. and Betke, M., “Real Time Eye Tracking and Blink Detection with USB Cameras”, Boston University Computer Science Technical Report No. 2005-12.
    [18]Tan, H.C. and Zhang, Y.J., “Detecting eye blink states by tracking iris and eyelids”, Pattern Recognition Letters, Vol. 27, 2006, pp.667-675.
    [19]Zhang, S.C. and Liu, Z.Q., “A Real-time Face Detector”, IEEE Int’l Conf. on Systems, Man and Cybernetics, 2004, pp.2197-2202.
    [20]Miyakawa, T., Takano, H. and Nakamura, K., “Development of Non-contact Real-time Blink Detection System for Doze Alarm”, SICE Annual Conf., 2004, pp.1626-1631.
    [21]許尹融, “即時眼部狀態偵測系統之研究”, 國立中央大學機械工程學系碩士論文, 2008.
    Advisor
  • Jiun-ren Hwang(黃俊仁)
  • Files
  • 983203107.pdf
  • disapprove authorization
    Date of Submission 2011-08-24

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have dissertation-related questions, please contact with the NCU library extension service section.
    Our service phone is (03)422-7151 Ext. 57407,E-mail is also welcomed.