Ching-Ting Hsu, Wei-Hua Ho, Jui-Lien Chen, Ying-Chen Lin
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 K. Sato, W. A. Sands, & M. H. Stone, The reliabilityof accelerometer to measure weightlifting performance,Sport biomechanics, 11(4), 2012, 524-531.
 S. Lenjannejadian, & M. Rostami, Optimaltrajectories of snatch weightlifting for two differentweight classes by suing genetic algorithm, Proc. 2008Cairo international conference on biomedical engineering,Cairo, Egypt, 2008, 1-4.
 S. M. A. Rahmati & M. Mallakzadeh, Determinationof the optimum objective function for evaluation optimalbody and barbell trajectories of snatch weightlifting viagenetic algorithm optimization, Proc. 18thIranianconference on biomedical engineering, Iranian, 2011.
 Y. Ren, W. Fan, W. Lin, X. Yang, H. Li, W. Li, D.Liu, An efficient framework for analyzing periodicalactivities in sports videos, Proc. 4thInternationalconference on image and signal processing, Shanghi,Chian, 2011, I-50-506.
 M. Jocic, D. Oradovic, Z. Kojovic, & D. Tertei,OpenGL implementation of a color based object tracking,Proc. 3rdInternational conference on information societytechnology, Toronto, Canada, 2013, 7-11.
 A. Zivkovic, & B. Krose, An em-like algorithm forcolor-histogram-based object tracking, Proc. 2004 IEEEcomputer society conference on computer vision andpattern recognition, Washington DC, USA, 2004, I-798-803.
 T. Zhang, B. Ghanem, & N. Ahuja, Robust multi-object tracking via cross-domain contextual informationfor sports video analysis, Proc. IEEE Internationalconference on acoustics, speck and signal processing,Kyoto, Japan, 2012, 985-955.
 J. Wang, & Y. Yagi, Integrating color and shape-texture features for adaptive real-time object tracking,IEEE Transactions on image processing, 17(2), 2008,235-240.
 A. Yilmaz, X. Li, & M. Shah, Contour-based objecttracking with occlusion handing in video acquired usingmobile cameras, IEEE Transactions on pattern analysisand machine intelligence, 26(11), 2004, 1531-1536.