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Modeep: A Deep Learning Framework Using Motion Features For Human Pose Estimation
COMPUTER VISION - ACCV 2014, PT II, (2015): 302-315
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Abstract
In this work, we propose a novel and efficient method for articulated human pose estimation in videos using a convolutional network architecture, which incorporates both color and motion features. We propose a new human body pose dataset, FLIC-motion (This dataset can be downloaded from http://cs.nyu.edu/similar to ajain/accv2014/.), that...More
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