Action-specific motion prior for efficient Bayesian 3D human body tracking

Ignasi Rius, Jordi Gonzàlez, Javier Varona, F. Xavier Roca

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)

Abstract

In this paper, we aim to reconstruct the 3D motion parameters of a human body model from the known 2D positions of a reduced set of joints in the image plane. Towards this end, an action-specific motion model is trained from a database of real motion-captured performances, and used within a particle filtering framework as a priori knowledge on human motion. First, our dynamic model guides the particles according to similar situations previously learnt. Then, the state space is constrained so only feasible human postures are accepted as valid solutions at each time step. As a result, we are able to track the 3D configuration of the full human body from several cycles of walking motion sequences using only the 2D positions of a very reduced set of joints from lateral or frontal viewpoints. © 2009 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)2907-2921
JournalPattern Recognition
Volume42
DOIs
Publication statusPublished - 1 Nov 2009

Keywords

  • 3D human body tracking
  • Human motion capture
  • Human motion modelling
  • Visual tracking

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