Tracking human poses in various scales with accurate appearance

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Tracking human poses in various scales with accurate appearance

Building a robust and fully automatic framework for human motion tracking in 2D images and videos remains a challenging task in computer vision due to cluttered backgrounds, self-occlusions, variations of body shape and complexities of human postures. In this paper we propose a robust framework for...

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Bibliographic Details
Main Authors:	Tian, J., Lu, Y., Li, L., Liu, Wan-Quan
Format:	Journal Article
Published:	Springer 2017
Online Access:	http://hdl.handle.net/20.500.11937/61169

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