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研究生:温知博
研究生(外文):Chih-Po Wen
論文名稱:適用於多變環境光源之穿戴式視線偵測與追蹤
論文名稱(外文):Wearable eye-gaze detection and tracking system in the various ambient light
指導教授:陳彥霖陳彥霖引用關係
口試委員:任正隆李柏森楊士萱
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:資訊工程系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
畢業學年度:104
中文關鍵詞:眼動儀可見光視線追蹤視線偵測
外文關鍵詞:Particle filterVision basedWearableEye detectionEye tracking
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本論文系統使用可見光攝影機拍攝眼睛影像,並將設備改為穿戴式裝置,讓受
測者在適用上更加方便,拍攝設備與業界所使用的紅外光攝影機相比,本論文系統
僅使用低成本的網路攝影機。綜合以上優點,本論文系統為一套低成本且設備安全
的穿戴式眼動儀系統。
利用灰階型態學與 Sigmoid function 來降低受測環境光源的影響,再利用霍夫
圓偵測可能存在的虹膜區域,並使用最小平方法對可能存在虹膜的區域進行偵測,
找出虹膜中心位置,最後使用粒子濾波器對最小平方法所得出的結果進行追蹤,穩
定虹膜偵測的準確度。
由於使用穿戴式裝置進行偵測,受測者可以走動或式移動頭部,因此容易遇到
光影變化的情況,在此情況下灰階型態學及 Sigmoid function 可大幅降低光影的影
響。最後在人眼軌跡的觀察,可將眼睛的視線偵測結果映射至螢幕,觀察人眼睛視
線得移動軌跡。
In this thesis, the system uses a visible light camera to shoot the eye images, and
wearable devices to allow the subjects were more convenient. Compared with the IR light
camera used by the industry, the system uses only low-cost webcam. Based on the above
advantages, the system is a cost-effective and safe wearable eye-gaze system.
Use Grayscale morphology and Sigmoid function to reduce the influence of the
ambient light,and then use the Hough circle detection is used to search the iris candidates
and applied to determine the status of opening eye or closing eye, and using the least
square method to identify the location of the center of the iris, and finally using particle
filter to track the result obtained by the least square method.
The wearable device is able to walk or mobile head ,and therefore vulnerable to
changes in light conditions, in which case the Grayscale Morphology and Sigmoid
function can reduce the effects of light and shadow.
摘 要 i
ABSTRACT ii
誌謝 iii
目 錄 iv
表 目 錄 vi
圖 目 錄 viii
第一章 緒論 1
1.1 研究動機 1
1.2 可見光眼動儀概要 2
1.3 研究背景 3
1.3.1 Model-based方法 3
1.3.2 Feature-based方法 4
1.4 本文貢獻 5
第二章 研究方法 7
2.1 影像前處理 8
2.1.1 灰階形態學 9
2.1.2 多門檻值前景物體切割 12
2.1.3 影像特徵強化處理 13
2.2 定位虹膜中心 16
2.2.1 霍夫圓轉換 (Hough Circle) 16
2.2.2 最小平方法 (Least square based circle) 18
2.3 虹膜中心追蹤 21
2.3.1 粒子濾波器介紹 22
2.3.1.1 隨機采樣 24
2.3.1.2 重要性采樣 26
2.4 凝視點計算與校正 30
2.4.1 凝視點校正 30
2.4.2 凝視點座標轉換參數計算 32
第三章 實驗結果與分析 34
3.1 實驗設備與環境介紹 34
3.2 電腦端實驗數據與結果 37
3.2.1 正常光源(室內) 39
3.2.2 弱光源(室內) 46
3.2.3 強光源(窗口) 53
3.2.4 螢幕映射凝視點 59
3.3 崁入式系統之效能結果 66
第四章 結論與未來發展 68
4.1 本論文結論 68
4.2 未來發展 69
參考文獻 70
[1]S.J. Baek, K.A Choi, C. Ma, Y.H. Kim, and S.J. Ko, “Eyeball Model-based Iris Center Localization for Visible Image-based Eye-Gaze Tracking Systems”, IEEE Trans. Consumer Electron., vol. 59, no. 2, pp. 415-421, May 2013.
[2]S. Sirohey, A. Rosenfeld, and Z. Duric, “A method of detecting and tracking irises and eyelids in video,” Pattern Recognition, vol. 35, no. 6, pp. 1389–1401, 2002.
[3]J. Yang, R. Stiefelhagen, U. Meier, and A. Waibel. “Real-time face and facial feature tracking and applications,” AVSP 98 International Conference on Auditory-Visual Speech Processing. Terrigal, Australia, pp. 79-84, 1998.
[4]Gabor wavelet. [Online]. Available at:
https://en.wikipedia.org/wiki/Gabor_wavelet
[5]C. H. Morimoto, D. Koons, A. Amir, and M. Flickner, “Frame-rate pupil detector and gaze tracker,” IEEE ICCV’99 Frame-rate Workshop, vol. 99, 1999.
[6]S. R. Sterngerg , “Grayscale Morphology,” Computer Vision, Graphics, and Image Processing, vol. 35, Issue 3, pp. 333-355, 1986.
[7]形態學, [Online]. Available at:
https://zh.wikipedia.org/wiki/%E6%95%B0%E5%AD%A6%E5%BD%A2%E6%80%81%E5%AD%A6
[8]侵蝕與膨脹, [Online]. Available at:
http://docs.opencv.org/2.4/doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.html
[9]N. Otsu, “A threshold selection method from gray level histograms,” IEEE Transactions on systems, man, and cybernetics, vol. SMC-9, no. 1, pp. 62-66, 1979.
[10]直方圖均化. [Online]. Available at:
https://en.wikipedia.org/wiki/Histogram_equalization
[11]Sigmoid function. [Online]. Available at:
https://en.wikipedia.org/wiki/Sigmoid_function
[12]H. Li, and R. Forchheimer, “Location of face using color cues,” in Proceeding of Picture Coding Symposium, Lausanne, Switzerland, paper 2.4, 1993.
[13]D. Chai, and K. N. Ngan, “Face Segmentation Using Skin Color Map in Videophone Applications,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 9, no. 4, pp. 551-564, 1999.
[14]High-dynamic-range imaging. [Online]. Avaiable at:
https://en.wikipedia.org/wiki/High-dynamic-range_imaging
[15]V. F. Leavers, Shape Detection in Computer Vision Using the Hough Transform, Springer-Verlag, 1992.
[16]W. Gander, G.H. Golub, and R. Strebel, “Least-Squares Fitting of Circles and Ellipses,” BIT Numerical Mathematics, vol. 34, no. 4, pp. 558-578, 1994.
[17]X. Yun, and E. R. Bachmann, “Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking,” IEEE Transactions on Robotics, vol. 22, pp. 1216-1227, 2006.
[18]F. Xu, X. Liu and, F. Kikuo, “Pedestrian detection and tracking with night vision,” IEEE Transactions on Intelligent Transportation Systems, vol. 6, pp. 63-71, 2005.
[19]S. Wenga, C. Kuo, and S. Tub, “Video object tracking using adaptive Kalman filter,” ELSEVIER Transactions on Visual Communication and Image, vol. 17, pp. 1190-1208, 2006.
[20]C. R .Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, “Pfinder: real-time tracking of the human body,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 780-785, 1997.
[21]Z. Li, H. Liu and, C. Xu, “Real-time human tracking based on switching linear dynamic system combined with adaptive Meanshift tracker, ” IEEE International Conference on Image Processing, pp. 2329-2332, 2011.
[22]M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, “A Tutorial on Particle Filters for Online Nonlinear / Non-Gaussian Bayesian Tracking,” IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-189, 2002.
[23]S. Arulampalam, S. Maskell, and N. Gordon, “Beyond the Kalman Filter,” IEEE Aerospace and Electronic Systems Magazine, vol. 19, no. 7, pp. 37-38, 2004.
[24]C.L. Jen, Y.L. Chen, Y.J. Lin, C.H. Lee, A. Tsai, and M.T. Li, “Vision Based Wearable Eye-Gaze Tracking System,” IEEE International Conference on Consumer Electronics, pp. 202-203, 2016.
[25]M. Dobeš, J. Martinek, D. Skoupila, Z. Dobešová, J. Pospíšil, “Human eye localization using the modified Hough transform,” Optik-International Journal for Light and Electron Optics, vol. 117, no. 10, pp. 468-473, 2006.
[26]J. K. P. White, T. E. Hutchinson, and J. M. Carley, “Spatially Dynamic Calibration of an Eye-Tracking System,” IEEE Transactions on Systems, Man and Cybernetics, vol. 23, no. 4, pp. 1162-1168, 1993.
[27]Z. R. Cherif, A. Naït-Ali, J. F. Motsch, and M. O. Krebs, “An Adaptive Calibration of an Infrared Light Device Used for Gaze Tracking,” IEEE Instrumentation and Measurement Technology Conference, pp. 1029-1033, 2002.
[28]N. Ramanauskas, “Calibration of video-oculographical eye-tracking system,” Elektronika ir Elektrotechnika, vol. 8, no. 72, pp. 65-68, 2006.
[29]G. H. Gene, and C. Reinsch. “Singular value decomposition and least squares solutions,” Numerische mathematik, vol. 14, no. 5, pp. 403-420, 1970.
[30]Logitech QuickCam Pro. 5000, [Online]. Available at:
http://support.logitech.com/zh_tw/category/webcams-and-security
[31]OpenCV Computer Vision Library. [Online]. Available at: http://opencv.org/
[32]Acer V276HL. [Online]. Available at:
http://www.acer.com.tw/ac/zh/TW/content/professional-model/MM.LYETT.002
[33]W.C. Kao, C.Y. Lee, C.Y. Lin, T.Y. Su, B.Y. Ke, and C.Y. Liao, “Gaze Tracking with Particle Swarm Optimization,” IEEE international Symposium on Consumer Electronics, 2015.
[34]NVIDIA TX1開發板.[Online]. Available at:
http://www.nvidia.com.tw/object/jetson-tx1-dev-kit-tw.html
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