Loose-limbed people: estimating 3D human pose and motion using non-parametric belief propagation
type: Item
instance of: scholarly article
title: Loose-limbed people: estimating 3D human pose and motion using non-parametric belief propagation
zbMATH Open document ID: 1254.68283
author: Leonid Sigal
author: M. Isard
author: Horst Haussecker
author: Michael J. Black
published in: International Journal of Computer Vision
publication date: 2013-01-15T00:00:00Z
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 6125626
zbMATH Keywords: articulated pose estimation
zbMATH Keywords: articulated tracking
zbMATH Keywords: human pose estimation
zbMATH Keywords: human motion tracking
zbMATH Keywords: non-parametric belief propagation
describes a project that uses: OpenCV
describes a project that uses: HumanEva
MaRDI profile type: Publication
full work available at URL: s11263-011-0493-4
OpenAlex ID: W2071882725
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cites work: Learning the statistics of people in images and video
cites work: Q4459461
cites work: Correctness of belief propagation in Gaussian graphical models of arbitrary topology
DOI: 10.1007/S11263-011-0493-4
description: scientific article; zbMATH DE number 6125626