政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32644

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32644

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政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/32644

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/32644

Title:	彩色游泳影片中之泳姿分類
Authors:	劉明哲 Liu, Ming-Je
Contributors:	廖文宏 Liao, Wen-Hung 劉明哲 Liu, Ming-Je
Keywords:	游泳泳姿運動影片 swim swimming style sports video
Date:	2003
Issue Date:	2009-09-17 13:55:17 (UTC+8)
Abstract:	本論文的主要目的是建立一套泳姿自動分類系統，利用電腦視覺中影像處理技術，輔以資料分析技術，即時且自動的分析在一段從岸邊水上拍攝，包含單一泳者向著鏡頭方向游泳的彩色影片中，泳者所進行的姿勢。首先我們利用膚色模型分離出影像中屬於游泳者手臂的區域。接下來，我們分析這些區域的特徵，例如長寬比以及斜率、面積等。最後，基於連續影像中每個單一畫面的手臂區域特徵，利用一個評分系統來判斷該泳者目前所進行的是哪一種游泳姿勢，分為蝶式、仰式、蛙式、自由式等四種泳姿。在實驗結果中，我們所提出的方法對於從http://swim.ee網站上下載的50段影片中，四種泳姿的分類達到了百分之百的正確性。 In this thesis, we present a robust method to classify swimming styles from live color video sequences based on the features extracted from the upper-body of the swimmer. In our approach, potential body parts are first extracted using a simple skin color model. Next, the dominant components in the segmented regions are selected according to quantitative measures such as the aspect ratio and the area. Regression analysis is then performed to calculate the relative position of the constituent body parts. Finally, a scoring system is constructed to carry out the classification of four strokes, including butterfly, backstroke, breast stroke, and freestyle. Experimental results demonstrate the validity and efficiency of our proposed approach.
Reference:	【1】 J. K. Aggarwal, Q. Cai, W. Liao and B. Sabata. 1998. Nonrigid motion analysis - articulated and elastic motion. Computer Vision and Image Understanding 70:2 142-156. 【2】 H. Zhang, Y. Gong, S. Smoliar and S. Tan. 1994. Automatic Parsing of News Video. Proc. of IEEE Conference on Multimedia Computing and Systems 45-54. 【3】 MPEG-7: Context and Objectives (V.7). 1998. ISO/IEC JTC1/SC29/WG11 N2207, MPEG98. 【4】 ATVEF http://www.atvef.com 【5】 A. Ekin, A. Tekalp, and R. Mehrotra. 2003. Automatic Soccer Video Analysis and Summarization. in Symp. Electronic Imaging: Science and Technology: Storage and Retrieval for Image and Video Databases. 【6】 Yong Rui, Anoop Gupta, Alex Acero. 2000. Automatically Extracting Highlights for TV Baseball Programs. Proc. of the ACM Multimedia 105-115. 【7】 V. Kobla, D. DeMenthon, and D. Doermann. 2000. Identification of sports videos using replay, text, and camera motion features. Proc. of the SPIE Conference on Storage and Retrieval for Media Databases 3972 332-343. 【8】 G. Iyengar and A. Lippman. 1998. Models for automatic classification of video sequences. Storage and Retrieval for Image and Video Databases 3312 216-227. 【9】 McGee, T. and N. Dimitrova. 1999. Parsing TV Program Structures for Identification and Removal of Non-Story Segments. in SPIE Conf. on Storage and Retrieval for Image and Video Databases. 【10】 Y. Ariki and Y. Sugiyama. 1999. Classification of TV sports news by dct features using multiple subspace method. Proc. of the SPIE Conference on Storage and Retrieval for Image and Video Databases 3656 243-251. 【11】 How-Lung Eng, Kar-Ann Toh, Alvin H. Kam, Junxian Wang, Wei-Yun Yau. 2003. An Automatic Drowning Detection Surveillance System for Challenging Outdoor Pool Environments. International Conference on Computer Vision 532-539. 【12】 Rui, Y., Gupta, A. & Acero, A. 2000. Automatically extracting highlights for TV baseball programs. Proceedings of ACM Multimedia 105-115. 【13】 P. Chang, M.Han, and Y.Gong. 2002. Extract highlights from baseball game video with hidden markov models. In Proceedings of International Conference on Image Processing 609-612. 【14】 M. Jones and J. Rehg. 1999. Statistical Color Models with Application to Skin Detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 274-280. 【15】 J. Yang, W. Lu, and A. Waibel. 1998. Skin-color Modeling and Adaptation. Proceedings of ACC 687-694. 【16】 Vezhnevets V., Sazonov V., Andreeva A. 2003. A Survey on Pixel-Based Skin Color Detection Techniques. Proc. Graphic 85-92. 【17】 R. C. Gonzalez and R. E. Woods. 2002. Digital Image Processing, Addison-Wesley Publishing.
Description:	碩士國立政治大學資訊科學學系 91753031 92
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0091753031
Data Type:	thesis
Appears in Collections:	[Department of Computer Science ] Theses

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