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Paper Abstract and Keywords
Presentation 2014-02-13 16:10
[Poster Presentation] Cooking Motion Recognition Based on Gradient Local Auto Correlation
Soichiro Hotta, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.) PRMU2013-137 CNR2013-45
Abstract (in Japanese) (See Japanese page) 
(in English) There are many strategies to recognize human actions and gestures, and these are widely used to detect simple
gestures such as hand gestures, changes in face emotion, suspicious behaviors etc. However, it is not easy to detect and classify complicated activities and/or behaviors. In this paper, we introduce a method to detect human behavior in a special environment addressing motions relating to cooking in the kitchen. We propose Cubic GLAC (C-GLAC) to describe shapes of objects and how they change in time in a video sequence. The proposed method is an expansion of Gradient Local Correlation (GLAC), which is based on the gradient of an image, to describe static information of shapes in a frame and their changes in neighboring frames. A Support Vector Machine with linear kernel is employed, and the detection is performed for Kitchen Scene Context based Gesture Recognition (KSCGR) Dataset. The detection results are evaluated using the criteria of KSCGR Contest, and a recognition rate and a KSCGR evaluation score are 2.6% and 5.1% higher than the evaluation result of GLAC.
Keyword (in Japanese) (See Japanese page) 
(in English) / / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 431, PRMU2013-137, pp. 89-90, Feb. 2014.
Paper # PRMU2013-137 
Date of Issue 2014-02-06 (PRMU, CNR) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 PRMU2013-137 CNR2013-45

Conference Information
Committee PRMU CNR  
Conference Date 2014-02-13 - 2014-02-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2014-02-PRMU-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Cooking Motion Recognition Based on Gradient Local Auto Correlation 
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1st Author's Name Soichiro Hotta  
1st Author's Affiliation Mie University (Mie Univ.)
2nd Author's Name Wataru Ohyama  
2nd Author's Affiliation Mie University (Mie Univ.)
3rd Author's Name Tetsushi Wakabayashi  
3rd Author's Affiliation Mie University (Mie Univ.)
4th Author's Name Fumitaka Kimura  
4th Author's Affiliation Mie University (Mie Univ.)
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Speaker Author-1 
Date Time 2014-02-13 16:10:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-137, CNR2013-45 
Volume (vol) vol.113 
Number (no) no.431(PRMU), no.432(CNR) 
Page pp.89-90 
#Pages 2 
Date of Issue 2014-02-06 (PRMU, CNR) 

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