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研究生: 毛綱增
Gang-Zeng Mao
論文名稱: 在複雜背景下做即時的手部偵測與追蹤
Research on Real-Time Hand Detection and Tracking against Complex Background
指導教授: 吳怡樂
Yi-Leh Wu
口試委員: 唐政元
Cheng-Yuan Tang
何瑁鎧
Maw-Kae Hor
林彥君
Yen-Chun Lin
邱舉明
Ge-Ming Chiu
學位類別: 碩士
Master
系所名稱: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
論文出版年: 2009
畢業學年度: 97
語文別: 英文
論文頁數: 22
中文關鍵詞: 手部偵測手部追蹤串接式分類器膚色偵測
外文關鍵詞: hand detection, hand tracking, cascade classifier, skin color detector
相關次數: 點閱:261下載:9
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  • 目前大部分手部偵測與追蹤的方法只可以應用在簡單並且相似的背景上,在這篇論文中我們提出合併Viola and Jones 在2004年提出的物件偵測演算法與膚色偵測方法來成功的實現了在複雜背景下的手部偵測與追蹤,並且從我們的實驗結果也可以看出我們的方法是可以實作在即時的影像處裡上(每秒15個frame).


    Most hand detection and tracking algorithms can only be applied on fairly simple and similar backgrounds. We propose to combine a modified object detection method proposed by Viola and Jones [4] with the skin-color detection method to perform hand detection and tracking against complex backgrounds. Our experimental results show that the proposed method is effective in near real-time speed (15 frames per second.)

    Chapter 1 ------------------------ 1 - Introduction------------------------------ 1 - Chapter 2 --------------------------------- 3 - Real-time Object Detector----------------- 3 - 2.1 Harr-like features-------------------- 3 - 2.2 Integral Image ------------------------ 4 - 2.3 AdaBoost------------------------------ 5 - 2.4 Cascade Classifier-------------------- 7 - Chapter 3 --------------------------------- 9 - New Features for Complex Backgrounds------ 9 - Chapter 4 -------------------------------- 13 - Experiments------------------------------ 13 - 4.1 Dataset------------------------------ 13 - 4.2 Results------------------------------ 15 - Chapter 5 -------------------------------- 20 - Conclusions------------------------------ 20 - References------------------------------- 21 -

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    [4] Paul Viola and Michael Jones, “Robust Real-time Object Detection”, IEEE International Journal of Computer Vision, vol.57, no.2, pp.137-154, May 2004.
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    [7] Qing Chen; Georganas, N.D.; Petriu, E.M., “Real-time Vision-based Hand Gesture Recognition Using Haar-like Features,” Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE , pp.1-6, 1-3 May 2007.
    [8] Garcia, C.; Tziritas, G., “Face detection using quantized skin color regions merging and wavelet packet analysis,” Multimedia, IEEE Transactions on , vol.1, no.3, pp.264-277, Sep 1999.
    [9] R. Lienhart, J. Maydt, “An extended set of Haar-like features for rapid object detection,” Proc. IEEE International Conference on Image Processing ICIP 2002, Vol. 1, pp. 900-903, 2002.
    [10] Chai, D.; Ngan, K.N., “Face segmentation using skin-color map in videophone applications ,” Circuits and Systems for Video Technology, IEEE Transactions on , vol.9, no.4, pp.551-564, Jun 1999.
    [11] Cutler, R.; Turk, M., “View-based interpretation of real-time optical flow for gesture recognition,” Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on, pp.416-421, 14-16 Apr 1998.
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    [14] Saxe, D.; Foulds, R., “Toward robust skin identification in video images,” Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on , pp.379-384, 14-16 Oct 1996.
    [15] Xiaojin Zhu; Jie Yang; Waibel, A., “Segmenting hands of arbitrary color,” Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on, pp.446-453, 2000.

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