An Optimization Based Framework for Human Pose Estimation in Monocular Videos


Human pose estimation using monocular vision is a challenging problem in computer vision. Past work has focused on developing efficient inference algorithms and probabilistic prior models based on captured kinematic/dynamic measurements. However, such algorithms face challenges in generalization beyond the learned dataset. In this work, we propose a model… (More)


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