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Authors: Hongying Meng ; Nick Pears and Chris Bailey

Affiliation: University of York, United Kingdom

Keyword(s): Event recognition, Human action recognition, Video analysis, Support Vector Machine.

Abstract: In this paper, we study the human action recognition problem based on motion features directly extracted from video. In order to implement a fast human action recognition system, we select simple features that can be obtained from non-intensive computation. We propose to use the motion history image (MHI) as our fundamental representation of the motion. This is then further processed to give a histogram of the MHI and the Haar wavelet transform of the MHI. The processed MHI thus allows a combined feature vector to be computed cheaply and this has a lower dimension than the original MHI. Finally, this feature vector is used in a SVM-based human action recognition system. Experimental results demonstrate the method to be efficient, allowing it to be used in real-time human action classification systems.

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Paper citation in several formats:
Meng, H.; Pears, N. and Bailey, C. (2007). MOTION INFORMATION COMBINATION FOR FAST HUMAN ACTION RECOGNITION. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 21-28. DOI: 10.5220/0002043200210028

@conference{visapp07,
author={Hongying Meng. and Nick Pears. and Chris Bailey.},
title={MOTION INFORMATION COMBINATION FOR FAST HUMAN ACTION RECOGNITION},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={21-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002043200210028},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - MOTION INFORMATION COMBINATION FOR FAST HUMAN ACTION RECOGNITION
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Meng, H.
AU - Pears, N.
AU - Bailey, C.
PY - 2007
SP - 21
EP - 28
DO - 10.5220/0002043200210028
PB - SciTePress

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