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Authors: Adolfo López and Josep R. Casas

Affiliation: Technical University of Catalonia, Spain

Keyword(s): Pose estimation, Motion capture, Particle filter.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Statistical Approach

Abstract: This paper presents a new annealing method for particle filtering in the context of body pose estimation. The feature-based annealing is inferred from the weighting functions obtained with common image features used for the likelihood approximation. We introduce a complementary weighting function based on the foreground extraction and we balance the different measures through the annealing layers in order to improve the posterior estimate. This technique is applied to estimate the upper body pose of a subject in a realistic multi-view environment. Comparative results between the proposed method and the common annealing strategy are presented to assess the robustness of the algorithm.

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Paper citation in several formats:
López, A. and R. Casas, J. (2009). FEATURE-BASED ANNEALING PARTICLE FILTER FOR ROBUST BODY POSE ESTIMATION. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 438-443. DOI: 10.5220/0001783404380443

@conference{visapp09,
author={Adolfo López. and Josep {R. Casas}.},
title={FEATURE-BASED ANNEALING PARTICLE FILTER FOR ROBUST BODY POSE ESTIMATION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={438-443},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001783404380443},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - FEATURE-BASED ANNEALING PARTICLE FILTER FOR ROBUST BODY POSE ESTIMATION
SN - 978-989-8111-69-2
IS - 2184-4321
AU - López, A.
AU - R. Casas, J.
PY - 2009
SP - 438
EP - 443
DO - 10.5220/0001783404380443
PB - SciTePress

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