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Paper Abstract and Keywords
Presentation 2014-03-14 09:30
Study of Recognizing Hand Actions from Video Sequences during Suture Surgeries Based on Temporally-Sectioned SIFT and Sliding Window Based Neural Networks
Ye Li, Jun Ohya (Waseda Univ.), Toshio Chiba (NCCHD), Rong Xu (Waseda Univ.), Hiromasa Yamashita (NCCHD) PRMU2013-193
Abstract (in Japanese) (See Japanese page) 
(in English) Towards the realization of a robotic nurse that can support surgeries autonomously by recognizing surgical situations only using video informations, this paper proposes an improved method by using sectioned-SIFT and sliding window based neural network that can recognize surgeon’s hand actions: suture and tying. Hand area is detected by using color information and then the video sequence is partitioned into sections. Sectioned-SIFT descriptors are computed in each section and built a word vocabulary. Histogram feature of the action is spliced by using word’s frequency in each section. Finally, sliding window and neural network is used to recognize the significant actions: suture and tying. The proposed method has achieved the 100% recognition rate for manually extracted actions and 90% recognition rate for whole surgery video sequences.
Keyword (in Japanese) (See Japanese page) 
(in English) action recognition / sectioned-SIFT / BP neural network / RSN / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 493, PRMU2013-193, pp. 151-156, March 2014.
Paper # PRMU2013-193 
Date of Issue 2014-03-06 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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)
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Conference Information
Committee PRMU  
Conference Date 2014-03-13 - 2014-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2014-03-PRMU 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Recognizing Hand Actions from Video Sequences during Suture Surgeries Based on Temporally-Sectioned SIFT and Sliding Window Based Neural Networks 
Sub Title (in English)  
Keyword(1) action recognition  
Keyword(2) sectioned-SIFT  
Keyword(3) BP neural network  
Keyword(4) RSN  
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1st Author's Name Ye Li  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Jun Ohya  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Toshio Chiba  
3rd Author's Affiliation National Center for Child Health and Development (NCCHD)
4th Author's Name Rong Xu  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Hiromasa Yamashita  
5th Author's Affiliation National Center for Child Health and Development (NCCHD)
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Speaker Author-1 
Date Time 2014-03-14 09:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-193 
Volume (vol) vol.113 
Number (no) no.493 
Page pp.151-156 
#Pages 6 
Date of Issue 2014-03-06 (PRMU) 

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