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Authors: Duc-Hieu Tran and Wooi-Boon Goh

Affiliation: Nanyang Technological University, Singapore

Keyword(s): Human Action Recognition, Local Feature, Voting Framework, Nearest Neighbor.

Abstract: Human action recognition has been an active research area in recent years. However, building a robust human action recognition system still remains a challenging task due to the large variations in action classes, varying human appearances, illumination changes, camera motion, occlusions and background clutter. Most previous work focus on the goal of improving recognition rates. This paper describes a computationally fast votingbased approach for human action recognition, in which the action in the video sequence is recognized based on the support of the local spatio-temporal features. The proposed technique requires no parameter tuning and can produce recognition rates that are comparable to those in recent published literature. Moreover, the technique can localize the single human action in the video sequence without much additional computation. Recognition results on the KTH and Weizmann action dataset are presented.

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Paper citation in several formats:
Tran, D. and Goh, W. (2012). A FAST VOTING-BASED TECHNIQUE FOR HUMAN ACTION RECOGNITION IN VIDEO SEQUENCES. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 613-619. DOI: 10.5220/0003850606130619

@conference{visapp12,
author={Duc{-}Hieu Tran. and Wooi{-}Boon Goh.},
title={A FAST VOTING-BASED TECHNIQUE FOR HUMAN ACTION RECOGNITION IN VIDEO SEQUENCES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={613-619},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003850606130619},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - A FAST VOTING-BASED TECHNIQUE FOR HUMAN ACTION RECOGNITION IN VIDEO SEQUENCES
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Tran, D.
AU - Goh, W.
PY - 2012
SP - 613
EP - 619
DO - 10.5220/0003850606130619
PB - SciTePress

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