跳到主要內容

臺灣博碩士論文加值系統

(34.204.176.71) 您好!臺灣時間:2024/11/14 12:25
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:林忠毅
研究生(外文):Chung-Yi Lin
論文名稱:即時人臉偵測系統之研究
論文名稱(外文):A Study of Real-time Face Detection Systems
指導教授:蔡吉勝
指導教授(外文):Chi-Sheng Tsai
學位類別:碩士
校院名稱:建國科技大學
系所名稱:機電光系統研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:57
中文關鍵詞:膚色分離人臉偵測查詢表臉部特徵
外文關鍵詞:Skin-colorFace detectionLookup tableFace features
相關次數:
  • 被引用被引用:4
  • 點閱點閱:424
  • 評分評分:
  • 下載下載:123
  • 收藏至我的研究室書目清單書目收藏:0
本論文目的為發展以膚色分離與降低環境亮度影響為核心技術之即時人臉偵測系統,此系統主要分為:「影像擷取與處理」和「人臉影像偵測」模組。影像擷取與處理模組係利用動態偵測來判斷是否有移動物體進入攝影機之攝像範圍以啟動人臉偵測系統外,也可同步利用查詢表(Lookup table)進行自然環境的亮度修正,並且擷取移動物體之影像。而人臉影像偵測模組其功能是利用膚色分離與條件判斷,將所擷取影像中之人臉區域偵測出來。本系統經測試後,在3到5公尺的範圍中已能將人臉正確地加以偵測出來,隨著目標物的緩慢逼近,也能將臉部的特徵如眼睛及嘴巴等正確地框取出來。
The object of this thesis is to develop a real-time face detection system base on the technology of skin-color separation and lowering the influence of circumstance-brightness. The developed system mainly consists of ‘image capture and process’ and ‘face image detection’ two modules. The first module is used to capture the image from camera when system detected moving object as well as correct the effect on environment brightness by using lookup table. The second module is to detect the face area from the image captured in the front module by way of skin-color separation and conditions judgment. The system is tested and the performances show that it can successfully detect the face area in the detection distance from 3 to 5 meters, and frame the face feature such as eyes and mouth when the face is approaching to the camera.
中文摘要......................................................ⅰ
英文摘要......................................................ⅱ
目錄..........................................................ⅲ
圖目錄....................................................... ⅵ
第一章 緒論....................................................1
1-1 研究背景及目的.........................................1
1-2 論文架構...............................................3
第二章 人臉偵測相關研究探討....................................4
2-1 色彩空間...............................................4
2-1-1 HSL..............................................6
2-1-2 HSV..............................................6
2-1-3 YCbCr............................................7
2-2 人臉偵測相關技術.......................................8
2-2-1膚色特徵偵測......................................8
2-2-2人臉特徵部位偵測.................................10
2-2-3特徵臉偵測.......................................11
2-2-4移動物體偵測.....................................12
2-3 綜合討論............................................14
第三章 即時人臉偵測系統設計...................................15
3-1 人臉偵測系統架構......................................15
3-2 影像擷取與處理模組....................................17
3-2-1 明暗度修正......................................17
3-2-2 移動偵測........................................20
3-3 人臉偵測模組..........................................21
3-3-1 高斯濾波........................................22
3-3-2 色彩空間轉換....................................24
3-3-3 影像二值化處理..................................27
3-3-4 邊緣檢測........................................30
第四章 系統測試與討論.........................................35
4-1 系統實作..............................................35
4-2 系統測試..............................................36
4-2-1 於複雜度低之測試環境............................37
4-2-2於複雜度高之測試環境............................38
4-3 測試結果與討論........................................40
第五章 結論與未來展望.........................................42
5-1 結論..................................................42
5-2 未來展望..............................................42
參考文獻......................................................44
附錄A.........................................................50
[1] International Biometric Group, Biometrics, “Market and Industry Report 2006-2010”, International Biometric Group Research consulting Integration, 2006.
[2] K .Meng, G.D. Su, and C.C. Li, “A high performance face recognition system based on a huge face database”, Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference, vol. 8, pp.5159 – 516, Aug 2005.
[3] J.K. Kim, D.S. Shin, and M.J. Bae, “A study on the improvement of speaker recognition system by voiced detection”, Circuits and Systems, vol. 3, pp.III-324 - III-327, Aug 2002.
[4] R. Abiantun , M. Savvides , and P.K. Khosla, “Automatic eye-level height system for face and iris recognition systems”, Automatic Identification Advanced Technologies Fourth IEEE Workshop , pp.155 – 159, Oct. 2005.
[5] Y. Song , C. Lee and J. Kim, “A new scheme for touchless fingerprint recognition system”, Intelligent Signal Processing and Communication Systems, pp.524 – 527, Nov. 2004.
[6] J. Yang, X. Chen, and W.A Kunz, “PDA-based face recognition system”, Applications of Computer Vision, Proceedings, pp.19 - 23 , Dec 2002.
[7] W. Niu, J. Long, D. Han, and Y.F. Wang, “Human activity detection and recognition for video surveillance” Multimedia and Expo, vol. 1, pp.719 - 72227-30 ,June. 2004.
[8] Fei Zuo, de With, and P.H.N. , “Real-time embedded face recognition for smart home”, Consumer Electronics, vol. 51, pp.183 – 190, Feb. 2005.
[9] 繆紹綱 編譯,數位影像處理第二版,普林斯頓國際有限公司。
[10] C. Garcia and G. Tziritas, “Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis”, IEEE Tran. Multimedia, vol. 1, no. 3, pp. 264-277, Setp. 1999.
[11] Gary R. Bradski, “Computer Vision Face Tracking For Use in a Perceptual User Interface”, Intel Technology Journal Q2, 1998.
[12] X. Xie, R. Sudhakar and H. Zhuang, “A cascaded Scheme for Tracking and Head Movement Compensation”, IEEE Transactions on systems, Man, and cybernetics- part A: systems and humans, vol. 28, no.4,July. 1998.
[13] 張真誠、黃國峰、陳同孝,電子影像技術,旗標出版。
[14] CCIR, “Encoding parameters of digital television for studios”, CCIR Recommendation 601-2, Int. Radio Consult. Committee, Geneva, Switzerland, 1990.
[15] H. Palus and D. Bereska, “The Comparison between transformations from RGB color space to HIS color space, used for object recognition”, Image Processing and its Applications 4-6 Conference Publication , no. 410, July. 1995.
[16] M.T. Chang and S.Y. Chen, “Deformed trademark retrieval based on 2D pseudo-hidden Markov model”, Pattern Recognition, vol. 34, pp.953-967, 2001.

[17] C. Faloutsos, R. Barber, M. Flickner, J. Hafner, W. Niblack, D. Petkovic and W. Equitz, “Efficient and effective querying by image content” , Journal of Intelligent Information Systems, vol. 3, pp. 231-262, 1994.
[18] M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic and D. Steele, P. Yanker, “Query by image and video content: the QBIC system” , IEEE Computers, vol. 28, pp. 23-33, 1995.
[19] J.D. Foley, A.V. Dam, S.K. Feiner and J.F. Hughes, Computer Graphics: Principles and Practice, 1993.
[20] J. Fan, K. Y. David and Yau, “Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing”, IEEE Transactions on image processing, vol. 10, no. 10, pp.1454-1466, Oct. 2001.
[21] C.C. Chiang, W.K. Tai, M.T. Yang, Y.T. Huang and C.J. Huang, “A novel method for detecting lips, eyes and faces in real time”, Real Time Imaging, pp. 277–287, 2003.
[22] K.W. Wong, K.M. Lam and W.Ch. Siu, “ A robust scheme for live detection of human faces in color images”, Signal Processing: Image Communication 18,pp.103–114, 2003.
[23] C. Lin and K.C. Fan, “Human face detection using geometric triangle relationship”, Pattern Recognition, 2000. Proceedings. 15th International Conference , vol. 2, pp.941 - 944, Sept. 2000.
[24] A. Rizzi, C. Gatta and D. Marini, “A new algorithm for unsupervised global and local color correction”, Pattern Recognition Letters 24, pp.1663- 1677 ,2003.
[25] Z.F. Liu, Z.S. You, A.K. Jain and Y.G. Wang, “Face detection and facial feature extraction in color image”, Computational Intelligence and Multimedia Applications, ICCIMA 2003. Proceedings. Fifth International Conference , pp.126 – 130, Sept 2003.
[26] A. Hadid, M. Pietikainen and B. Martinkauppi, “Color-based face detection using skin locus model and hierarchical filtering”, Pattern Recognition, Proceedings.16th International Conference on , vol. 4 ,pp.196 - 200, 2002.
[27] M.A. Truk and A.P Pentland, “Face recognition using eigenfaces”, Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91, IEEE Computer Society Conference, pp.586 - 591, June 1991.
[28] C. Anderson, Peter Burt and G. van der Wal, “Change detection and tracking using pyramid transformation techniques”, In Proceedings of SPIE - Intelligent Robots and Computer Vision, vol. 579, pp. 72-78, 1985.
[29] F. Preteux , and M. Malciu , “Model-based head tracking and 3D pose estimation”, Proceedings SPIE Conference on Mathematical Modeling and Estimation Techniques in Computer Vision, San Diego, CA, vol. 3457, pp. 94-110 ,July 1998.
[30] A. Iketani, A. Nagai, Y. Kuno and Y. Shirai, “Detecting Person on Changing Background”, Proc. of IEEE Conf. on Pattern Recognition, vol. 1, pp. 74-76, June 1998.

[31] Murat Mes¸e and P. P. Vaidyanathan ,“Look-up table (LUT) method for inverse halftoning”, IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 10, no. 10, Oct 2001.
[32] Safar Hatami, Reshad Hosseini, Mahmoud Kamarei1 and Hossein Ahmadi, “Wavelet Based Fingerprint Image Enhancement”, IEEE International Symposium on 23-26 , vol. 5 ,pp. 4610 – 4613, May 2005.
[33] D.H. Shin and R.H. Park, “Block-based noise estimation using adaptive Gaussian filtering”, IEEE Transactions on Consumer Electronics, vol. 51, no. 1, Feb 2005.
[34] M.Ebroul Izquierdo and Mohammed Ghanbari, “Texture Smoothing and Object Segmentation Using Feature-Adaptive Weighted Gaussian Filtering”, Telecommunications Symposium, 1998. SBT/IEEE International, vol. 2, pp.650 - 655 , Aug 1998.
[35] K.M. Lam and Y.L Li, “An Efficient Approach for Facial Feature Detection”, IEEE Proc. of the 4th International Conference on signal Proceeding, vol. 2, pp.1100-1103,1998.
[36] T. Kawaguchi, D. Hidaka and M. Rizon, “Detection of Eyes From Human Faces By Hough Transform and Separability Filter”, IEEE Proc. of International Conference on Image Processing, vol.1, pp.49-52,2000.
[37] A.M Alattar and S.A. Rajala, “Facial features localization in front view head and shoulders images”, IEEE Acoustics, Speech, and Signal Processing, ICASSP 1999. Proceedings, 1999.
[38] 張富祺,“生物特徵辨識系統之分析與製作”,建國技術學院機電光系統研究所碩士論文,2004 年6 月。
[40]Q.H. Thu, M. Meguro and M. Kaneko , “Skin-Color Extraction in Images with Complex Background and Varying Illumination”, Sixth IEEE Workshop on Application of Computer Vision(WACV’92), 2002.
[41] Ikeda, O, “Segmentation of faces in video footage using HSV color for face detection and image retrieval”, Image Processing-2003 International Conference , vol. 3, pp. 913-6, Sept 2003.
[42]R.L Hsu , A.K. Jain and A.M Mohamed , “Face Detection in Color Image” , IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 24, no.5, May 2002.
[43]S.L. Phung , A. Bouzerdoum, and D. Chai , “A Novel Skin Color Model in YCbCr Color Space and it’s Application to Human Face Detection” , IEEE ICIP 2002, 2002.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top