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Adaptive Human Motion Estimation Filter with Integrated Phase Compensator


Balasubramaniyam Muthukumar, Sundaram Ravi


Vol. 12  No. 7  pp. 63-67


In this paper, human motion analysis is studied and forms one of the key tasks to understand the 2D video image estimation. An adaptive human motion estimation filter is proposed to extract the features from the human motion information through video samples. We also identified the different trained weights values in both low and high frequency human motion estimation. The main objective of an adaptive motion estimation filter is to explore the video patterns efficiently and significantly. The phase shift compensator is identified and integrated to compensate the phase shift in the estimated human motion at higher frequency.


Human motion estimation, 2Dimensional feature extraction, Motion Tracking, Phase Compensation