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Human activity tracking from moving camera stereo data

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conference contribution
posted on 10.02.2016, 11:54 authored by John Darby, Baihua LiBaihua Li, Nicholas Costen
We present a method for tracking human activity using observations from a moving narrow-baseline stereo camera. Range data are computed from the disparity between stereo image pairs. We propose a novel technique for calculating weighting scores from range data given body configuration hypotheses. We use a modified Annealed Particle Filter to recover the optimal tracking candidate from a low dimensional latent space computed from motion capture data and constrained by an activity model. We evaluate the method on synthetic data and on a walking sequence recorded using a moving hand-held stereo camera.

History

School

  • Science

Department

  • Computer Science

Published in

BMVC 2008 - Proceedings of the British Machine Vision Conference 2008

Citation

DARBY, J., LI, B. and COSTEN, C., 2008. Human activity tracking from moving camera stereo data. BMVC 2008 - Proceedings of the British Machine Vision Conference 2008, 1st-4th September, University of Leeds, Leeds, UK, pp.86.1-86.10

Publisher

BMVC 2008 (© the authors)

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2008

ISBN

1901725367

Language

en