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Paper Abstract and Keywords
Presentation 2010-03-16 12:20
Improvement of Accuracy in Bayesian Hidden Markov Model Approach for Sports Event Detection
Tomohiro Yazaki (Waseda Univ.), Toshie Misu (NHK), Yohei Nakada, Shigeru Motoi, Go Kobayashi, Takashi Matsumoto (Waseda Univ.), Nobuyuki Yagi (NHK) PRMU2009-301 HIP2009-186
Abstract (in Japanese) (See Japanese page) 
(in English) The problem of detecting the occurrence of target events in a given data sequence can be found in many fields , such as signal processing, pattern recognition, and image processing. We propose an event prediction method by using the Bayesian hidden Markov Model (HMM) and apply it to a video dataset of an actual soccer game. In this method, time-series data on the players' position are estimated from the video dataset and modeled with the HMM. The accuracy of this event prediction method can be improved by modifying the duration-modeling capability of the HMM, since a geometric distribution is used as its duration probability. In this paper, we use a generalized HMM in the event prediction algorithm for improving the duration-modeling capability. In addition, we test the efficiency of the proposed method with a video dataset of J-league soccer matches.
Keyword (in Japanese) (See Japanese page) 
(in English) Event detection / Sports video analysis / Generalized hidden Markov Model / Bayesian learning / Markov chain Monte Carlo / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 470, PRMU2009-301, pp. 401-406, March 2010.
Paper # PRMU2009-301 
Date of Issue 2010-03-08 (PRMU, HIP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2009-301 HIP2009-186

Conference Information
Committee PRMU HIP  
Conference Date 2010-03-15 - 2010-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-03-PRMU-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Accuracy in Bayesian Hidden Markov Model Approach for Sports Event Detection 
Sub Title (in English)  
Keyword(1) Event detection  
Keyword(2) Sports video analysis  
Keyword(3) Generalized hidden Markov Model  
Keyword(4) Bayesian learning  
Keyword(5) Markov chain Monte Carlo  
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Keyword(7)  
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1st Author's Name Tomohiro Yazaki  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Toshie Misu  
2nd Author's Affiliation Science & Technology Research Laboratories, Japan Broadcasting Corporation(NHK) (NHK)
3rd Author's Name Yohei Nakada  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Shigeru Motoi  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Go Kobayashi  
5th Author's Affiliation Waseda University (Waseda Univ.)
6th Author's Name Takashi Matsumoto  
6th Author's Affiliation Waseda University (Waseda Univ.)
7th Author's Name Nobuyuki Yagi  
7th Author's Affiliation Science & Technology Research Laboratories, Japan Broadcasting Corporation(NHK) (NHK)
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Speaker Author-1 
Date Time 2010-03-16 12:20:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2009-301, HIP2009-186 
Volume (vol) vol.109 
Number (no) no.470(PRMU), no.471(HIP) 
Page pp.401-406 
#Pages 6 
Date of Issue 2010-03-08 (PRMU, HIP) 

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