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Human Pose Estimation using Motion Priors and Ensemble Models

2019-01-26 04:22:30
Norimichi Ukita
arXiv_CV
                     
Abstract

Human pose estimation in images and videos is one of key technologies for realizing a variety of human activity recognition tasks (e.g., human-computer interaction, gesture recognition, surveillance, and video summarization). This paper presents two types of human pose estimation methodologies; 1) 3D human pose tracking using motion priors and 2) 2D human pose estimation with ensemble modeling.

Abstract (translated)

URL

https://arxiv.org/abs/1901.09156

PDF

https://arxiv.org/pdf/1901.09156.pdf

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