主動式紅外線影像的疲勞駕駛偵測系統

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：52

、訪客IP：3.129.20.163

姓名

張光雄(Kuang-Siyong Chang) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

主動式紅外線影像的疲勞駕駛偵測系統
(A Driver Drowsiness Detection Based on An Active IR illumination)

相關論文

★ 適用於大面積及場景轉換的視訊錯誤隱藏法	★ 虛擬觸覺系統中的力回饋修正與展現
★ 多頻譜衛星影像融合與紅外線影像合成	★ 腹腔鏡膽囊切除手術模擬系統
★ 飛行模擬系統中的動態載入式多重解析度地形模塑	★ 以凌波為基礎的多重解析度地形模塑與貼圖
★ 多重解析度光流分析與深度計算	★ 體積守恆的變形模塑應用於腹腔鏡手術模擬
★ 互動式多重解析度模型編輯技術	★ 以小波轉換為基礎的多重解析度邊線追蹤技術(Wavelet-based multiresolution edge tracking for edge detection)
★ 基於二次式誤差及屬性準則的多重解析度模塑	★ 以整數小波轉換及灰色理論為基礎的漸進式影像壓縮
★ 建立在動態載入多重解析度地形模塑的戰術模擬	★ 以多階分割的空間關係做人臉偵測與特徵擷取
★ 以小波轉換為基礎的影像浮水印與壓縮	★ 外觀守恆及視點相關的多重解析度模塑

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

我們提出一個主動式的電腦視覺系統，來取得各種偵測疲勞駕駛的視覺線索，這些視覺線索包含:眼睛的開/合、眨眼、眼瞼的動作、與臉部的方向。
本系統主要由四個部份所組成：主動式的影像擷取設備、眼睛偵測器、眼睛追蹤器、和視覺線索的擷取器。為了在不同環境光源的情況下都能正確的偵測並追蹤眼睛，我們使用紅外線相機來擷取駕駛人的瞳孔與臉部的影像，並配合一個閃爍式紅外線照明器，讓影像交替的產生亮瞳與暗瞳的效果。亮瞳與暗瞳的影像有著相同的背景與外界光源，我們可以在這兩張影像相減的結果中簡單地找出瞳孔的位置，依找到的瞳孔位置剪取出眼睛的區域並利用支援向量機（Support Vector Machine, SVM）來驗證偵測結果是否正確，如果在連續三張影像中偵測的結果都正確，則程序進入追蹤的階段。在追蹤時我們使用一個兩階段的追蹤方法，第一階段是在預測區域裡做眼睛偵測，如果第一階段失敗，則使用第二個基於比對原則的追蹤方法。
我們在不同的環境光源下評估我們的系統，像是在夜晚或黑暗中。從實驗結果中顯示，我們的方法可以在不同的環境光源下正確的偵測並追蹤眼睛的位置。

摘要(英)

An active computer vision system is proposed to extract various visual cues for drowsiness detection of drivers. The visual cues include eye close/ open, eye blinking, eyelid movement, and face direction.
The proposed system consists of four parts: an active image acquisition equipment, eye detector, eye tracker, and visual cue extractor. For working in various ambient light conditions, we used an IR camera equipped with a blinking IR illuminator to acquire deriver’s pupils and face for detecting and tracking eyes.
The bright and dark pupil images acquired by the active equipment share the same background and external illumination; we can simply subtract the two images to extract pupils. Based on the location of a pupil, the eye region is clipped to be verified by the SVM method. If the detection is success in consecutive three frames, the procedure is turned to tracking phase. There are two stages in the tracking phase. The first-stages method is the same the detection method. If it is fail, the second tracking strategy is launched based on the matching principle.
In experiments, we conduct several experiments with various ambient light conditions, such as day and night to evaluate the proposed system. From the experimental results, we find that the proposed approach can accurately detect and track eyes in the various ambient light conditions.

關鍵字(中)

★ 疲勞駕駛

關鍵字(英)

★ Drowsiness Detection

論文目次

摘要 I
誌謝 II
目錄 III
第一章緖論 1
第二章相關研究 2
第三章主動式的影像擷取設備 3
第四章眼睛偵測 4
第五章眼睛追蹤 5
第六章視覺線索的擷取 6
第七章實驗 7
第八章結論 8
附錄英文版論文 9

參考文獻

[1] Bakic, V. and G. Stockman, "Real-time tracking of face features and gaze direction determination," in Proc. IEEE Workshop Applications of Computer Vision, Princeton, NJ, Oct.19-21, 1998, pp.256-257.
[2] Cortes, C. and V. Vapnik, "Support-Vector Networks," Machine Learning, vol.20, no.3, pp.273-297, 1995.
[3] D'Orazio, T., M. Leo, G. Cicirelli, and A. Distante, "An algorithm for real time eye detection in face images," in Proc. 17th Int. Conf. Pattern Recognition, Cambridge, UK, Aug. 23-26, 2004, vol.3, pp.278-281.
[4] Grace, R., V. E. Byrne, D.M. Bierman, J.-M. Legrand, D. Gricourt, B.K. Davis, J.J Staszewski, and B. Carnahan, "A drowsy driver detection system for heavy vehicles," in Proc. Conf. Digital Avionics Systems, Oct.31-Nov.7, 1998, vol.2, pp.I36/1-I36/8.
[5] Hamada, T., T. Ito, K. Adachi, T. Nakano, and S. Yamamoto, "Detecting method for drivers' drowsiness applicable to individual features," in Proc. IEEE Int'l Conf. Intelligent Transportation Systems, Oct.12-15, 2003, vol.2, pp.1405-1410.
[6] Haro, A., M. Flickner, and I. Essa, "Detecting and tracking eyes by using their physiological properties, dynamics, and appearance," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, Hilton Head Island, SC, Jun.13-15, 2000, vol.1, pp.163-168.
[7] Hayami, T., K. Matsunaga, K. Shidoji, and Y. Matsuki, "Detecting drowsiness while driving by measuring eye movement - a pilot study," in Proc. IEEE Int’l Conf. Intelligent Transportation Systems, 2002, pp.156-161.
[8] Horng, W.B., C.Y. Chen, Y. Chang, and C.H. Fan, "Driver fatigue detection based on eye tracking and dynamic template matching," in Proc. Int. Conf. Networking, Sensing and Control, Taiwan, Mar.21-23, 2004, pp.7-12.
[9] Huang, W. and M. Robert., "Face detection and precise eyes location," in Proc. 15th Int. Conf. Pattern Recognition, Barcelona, Spain, Sep. 3-7, 2000, vol.4, pp.722-727.
[10] Hutchinson, T.E., Eye Movement Detection with Improved Calibration and Speed, U.S. Patent 4950069, Apr. 1990.
[11] Ito, T., S. Mita, K. Kozuka, T. Nakano, and S. Yamamoto, "Driver blink measurement by the motion picture processing and its application to drowsiness detection," in Proc. IEEE Conf. Intelligent Transportation Systems, Singapore, Sep.3-6, 2002, pp.168-173.
[12] Ji, Q. and Y. Xiaojie, "Real-time eye, gaze, and face pose tracking for monitoring driver vigilance," Real-Time Imaging, vol.8, Issue.5, pp.357-377, Oct. 2002.
[13] Moreno, F., F. Aparicio, W. Hernandez, and J. Paez, "A low-cost real-time FPGA solution for driver drowsiness detection," in Proc. IEEE Conf. Industrial Electronics Society, Nov.2-6, 2003, vol.2, pp.1396-1401.
[14] Morimoto, C.H., D. Koons, A. Amir, and M. Flickner, "Pupil detection and tracking using multiple light sources," Image and Vision Computing, vol. 8, pp.331-335, 2000.
[15] Parikh, P., and E. Micheli-Tzanakou, "Detecting drowsiness while driving using wavelet transform," in Proc. IEEE Conf. Annual Northeast Bioengineering, Apr.17-18, 2004, pp.79-80.
[16] Popieul, J. C., P. Simon, and P. Loslever, "Using driver's head movements evolution as a drowsiness indicator," in Proc. IEEE Intelligent Vehicles Sym., Jun.9-11, 2003, pp.616-621.
[17] Shih, S. W., Y. T. Wu, and J. Liu, "A calibration-free gaze tracking technique," in Proc. 15th Int. Conf. Pattern Recognition, Barcelona, Spain, Sep.3-7, 2000, vol.4, pp.201-204.
[18] Smith, P., M. Shah, and N. da Vitoria Lobo, "Monitoring head/eye motion for driver alertness with one camera," in Proc. Intl. Conf. Pattern Recognition, Barcelona, Spain, Sep.3-8, 2000, vol.4, pp.636-642.
[19] Smith, P., M. Shah, and N. da Vitoria Lobo, "Determining driver visual attention with one camera," in IEEE Trans. Intelligent Transportation Systems, Dec. 2003, vol.4, pp.205-218.
[20] Sobottka, K. and I. Pitas, "Extraction of facial regions and features using color and shape information," in Proc. Int. Conf. Pattern Recognition, Vienna, Austria, Aug. Aug. 25-29, 1996, pp.421-425.
[21] Stefano, L.D., and A. Bulgarelli, "A Simple and Efficient Connected Components Labeling Algorithm," in Proc. Int. Conf. Image Analysis and Processing, 1999, pp.322-327.
[22] Terrillon, J. C., M. N. Shirazi, M. Sadek, H. Fukamachi, and S. Akamatsu, "Invariant face detection with support vector machines," in Proc. 15th Int. Conf. Pattern Recognition, Barcelona, Spain, Sep.3-7, 2000, vol.4, pp.210-217.
[23] Ueno, H., M. Kaneda, and M. Tsukino, "Development of drowsiness detection system," in Proc. Conf. Vehicle Navigation and Information Systems, Yokohama, Japan, Aug.31-Sep.2, 1994, pp.15-20.
[24] Vapnik, V., The Nature of Statistical Learning Theory, Springer-Verlag, 1995.
[25] Vuckovic, A., D. Popovic, and V. Radivojevic, "Artificial neural network for detecting drowsiness from EEG recordings," in Proc. Int'l Conf. Neural Network Applications, Yugoslavia, Sep.26-28, 2002, pp.155-158.
[26] Welch, G.., and G.. Bishop, An Introduction to the Klaman Filter, 1997.
[27] Yuille, A. L., D.S. Cohen, and P. W. Hallinan, "Feature extraction from faces using deformable templates," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Diego, CA, Jun.4-8, 1989, pp.104-109.
[28] Zhu, Z., K. Fujimura, and Q. Ji, "Real-Time eye detection and tracking under various light conditions," in Proc. Eye Tracking Research & Application Sym., New Orleans, Louisiana, 2002, pp.139-144.

指導教授

曾定章(Din-Chang Tseng)

審核日期

2005-7-20

推文