輔助視障者辨識運動物件品牌及其主顏色

論文內容
論文分類	碩士論文
學號	G972102
姓名	郭哲佑
標題	輔助視障者辨識運動物件品牌及其主顏色
指導教授	蔡俊明
畢業日期	2011-07
附件檔案
參考連結	http://163.21.239.2/cgi-bin/cdrfb3/tmtcgsweb.cgi?o=dtmtccdr
摘要	為了輔助視障者，在從事運動相關活動時，能夠選擇運動用品的品牌及顏色，如此一來，不僅在外出時能有品味的展現，也能藉由顏色資訊來避免突兀的顏色搭配，因此，在本篇研究中，一開始先蒐集運動物件品牌的圖片，在利用監督式機器學習 AdaBoost(Adaptive-Boosting) 演算法，對運動物件品牌做特徵擷取與資料訓練。接著我們使用微型眼鏡攝影機輸入測試影像，經由 AdaBoost 演算法偵測運動物件品牌範圍後，再與運動品牌模板匹配，得到其運動品牌辨識結果，接著，再對其主顏色辨識，最後，會將運動物件品牌和主顏
參考文獻	[1] Global market share. from http://www.wikinvest.com/stock/Nike_(NKE) [2] Wikipedia contributors. (4 April 2010 07:55 UTC). RGB color model, from http://en.wikipedia.org/w/index.php?title=RGB_color_model&oldid=353871882 [3] Colantoni, P. Couleur.Org, from http://www.couleur.org/index.php?page=transformations [4] Rafael C. Gonzalez, R. E. W. (2002). Digital Image Processing (second ed.): Prentice Hall. [5] Viola, P., & Jones, M. J. (2004). Robust Real-Time Face Detection. [10.1023/B:VISI.0000013087.49260.fb]. International Journal of Computer Vision, 57(2), 137-154. [6] Lienhart, R., & Maydt, J. (2002, 2002). An extended set of Haar-like features for rapid object detection. Paper presented at the Image Processing. 2002. Proceedings. 2002 International Conference on. [7] Papageorgiou, C. P., Oren, M., & Poggio, T. (1998, 4-7 Jan 1998). A general framework for object detection. Paper presented at the Computer Vision, 1998. Sixth International Conference on. [8] Viola, P., & Jones, M. (2001, 2001). Rapid object detection using a boosted cascade of simple features. Paper presented at the Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. [9] Lienhart, R., Kuranov, A., & Pisarevsky, V. (2003). Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection (pp. 297-304). [10] 方國意. 基於特徵自動定位之人臉表情辨識系統之實現. 碩士, 國立成功大學. [11] 孫中麒. 低價位之導盲系統. 碩士, 國立中央大學. [12] 謝易錚. 以立體視覺實作盲人輔具系統. 碩士, 國立中央大學. [13] 林子閔. 超音波與感測器整合於導盲手杖定位之應用. 碩士, 國立臺灣科技大學. [14] 侯彥仲. 盲人在步行運動時定向模式對導盲行動地圖設計之研究. 碩士, 大同大學. [15] Chia-Feng, J., & Chia-Ming, C. (2007). Human Body Posture Classification by a Neural Fuzzy Network and Home Care System Application. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 37(6), 984-994. [16] Jiao, J., Ye, Q., & Huang, Q. (2009). A configurable method for multi-style license plate recognition. [doi: DOI: 10.1016/j.patcog.2008.08.016]. Pattern Recognition, 42(3), 358-369. [17] Ha, D. M., Lee, J. M., & Kim, Y. D. (2004). Neural-edge-based vehicle detection and traffic parameter extraction. [doi: DOI: 10.1016/j.imavis.2004.05.006]. Image and Vision Computing, 22(11), 899-907. [18] Begg, R. K., Palaniswami, M., & Owen, B. (2005). Support vector machines for automated gait classification. Biomedical Engineering, IEEE Transactions on, 52(5), 828-838. [19] Viola, P., & Jones, M. (2005). Robust Realtime Face Detection. International Journal of Computer Vision, 57(2), 137-154. [20] Shih, P., & Liu, C. (2006). Face detection using discriminating feature analysis and Support Vector Machine. Pattern Recognition, 39(2), 260-276. doi: DOI: 10.1016/j.patcog.2005.07.003 [21] Viola, P., Jones, M. J., & Snow, D. (2005). Detecting Pedestrians Using Patterns of Motion and Appearance. [10.1007/s11263-005-6644-8]. International Journal of Computer Vision, 63(2), 153-161. [22] Nike Manchester Jacket. from http://www.lachilenita.com/products-page/nike/nike-manchester-jacket/ [23] Puma video. from http://www.youtube.com/watch?v=m_Wg_FSIHGA [24] Bradski, G., & Kaehler, A. (2008). Learning OpenCV: computer vision with the OpenCV library: O'Reilly. [25] Puma video 2. from http://www.youtube.com/watch?v=3yTpUClylj4 [26] New Balance video. from http://www.youtube.com/watch?v=gWzONfXkqLI [27] Converse video. from http://www.youtube.com/watch?v=p_ORq0dSI0Y

瀏覽數: