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Authors: Dan Mikami 1 ; Toshitaka Kimura 1 ; Koji Kadota 2 ; Harumi Kawamura 1 and Akira Kojima 1

Affiliations: 1 NTT, Japan ; 2 Osaka University, Japan

ISBN: 978-989-8565-48-8

Keyword(s): Motion Analysis, Motion History Image, MHI, Multiple Decay Parameter, Baseball.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Shape Representation and Matching

Abstract: This paper proposes a sequential multi-decay motion history image matching with the aim of analyzing human motions captured in actual game situations without subjecting people to any intrusive measures. The motion history image (MHI) is a well- known motion representation method, which can be used without foreground detection. In MHIs, pixels on which motion is detected have large pixel values. As time elapses following the latest motion detection, the values decrease according to a decay parameter. Two improvements were made to enable MHI-based template matching to be applied to motion analysis; introducing a template MHI sequence matching process that enables analysis of the temporal development of motions and extending MHIs to include multiple decay parameters. Due to the MHI sequence, a reference motion includes target motions of various speeds. Since the appropriate decay parameter varies with motion speed, no one predefined decay parameter can be the best one. These improvements enable our method to effectively analyze human motions in actual game situations. Experiments carried out indoors with capturing of 3D motion data and outdoors under real games situations verified the effectiveness of the proposed method. (More)

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Paper citation in several formats:
Mikami, D.; Kimura, T.; Kadota, K.; Kawamura, H. and Kojima, A. (2013). Human Motion Analysis under Actual Sports Game Situations - Sequential Multi-decay Motion History Image Matching.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 229-236. DOI: 10.5220/0004272202290236

@conference{visapp13,
author={Dan Mikami. and Toshitaka Kimura. and Koji Kadota. and Harumi Kawamura. and Akira Kojima.},
title={Human Motion Analysis under Actual Sports Game Situations - Sequential Multi-decay Motion History Image Matching},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={229-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004272202290236},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Human Motion Analysis under Actual Sports Game Situations - Sequential Multi-decay Motion History Image Matching
SN - 978-989-8565-48-8
AU - Mikami, D.
AU - Kimura, T.
AU - Kadota, K.
AU - Kawamura, H.
AU - Kojima, A.
PY - 2013
SP - 229
EP - 236
DO - 10.5220/0004272202290236

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