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Authors: Evgeny Shalnov and Anton Konushin

Affiliation: Lomonosov Moscow State University, Russian Federation

ISBN: 978-989-758-094-9

Keyword(s): Computer Vision, Human Pose Estimation, MCMC, Kalman Filter

Abstract: We describe a method for the human pose estimation in a video sequence. We propose a new mathematical model of a human pose in a video sequence, which incorporates motion and pose parameters. We show that the model of (Park and Ramanan, 2011) is a particular case of our model. We introduce a framework to infer an approximation of the optimal value in the proposed model. We use an exact algorithm of motion parameters estimation to reduce complexity of inference. Our approach outperforms results of (Park and Ramanan, 2011) in the most complicated video sequences.

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Paper citation in several formats:
Shalnov, E. and Konushin, A. (2015). Human Pose Estimation in Video via MCMC Sampling.In Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015) ISBN 978-989-758-094-9, pages 71-79. DOI: 10.5220/0005462000710079

@conference{imta-515,
author={Evgeny Shalnov. and Anton Konushin.},
title={Human Pose Estimation in Video via MCMC Sampling},
booktitle={Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)},
year={2015},
pages={71-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005462000710079},
isbn={978-989-758-094-9},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)
TI - Human Pose Estimation in Video via MCMC Sampling
SN - 978-989-758-094-9
AU - Shalnov, E.
AU - Konushin, A.
PY - 2015
SP - 71
EP - 79
DO - 10.5220/0005462000710079

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