Abstract This paper investigates the sports dynamics using human pose modeling from the video sequences. To implement human pose modeling, a human skeletal model is developed using thinning algorithm and the feature points of human body are extracted. The obtained feature points play an important role in analyzing the activities of a sports person. The proposed human pose model technique provides a technology based training to a sports person and performance can be gradually improved. Also the paper aimed at improving the computation time and efficiency of 2D and 3D model.

References

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[10] Yu-jie L., Feng B., Zong-Min L., and Hua L., 3D Model Retrieval Based on 3D Fractional Fourier Transform, The International Arab Journal of Information Technology, vol. 10, no. 5, pp. 421-427, 2013. Kannan Paulraj received his M.E degree from Anna University, India in 2001 and Ph.D degree in Sports Technology from Tamilnadu Physical Education and Sports University, India in 2014. Currently he is a Professor and Head of Electronics and Communication Engineering, Panimalar Engineering College, India. His research interests include Image Processing and Optical communication. Nithya Natesan received her M.E degree from Anna University, India in 2005. Currently she is an Assistant Professor at Panimalar Engineering College, India. Her research interests include Compression and Decompression techniques of image processing.