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Paper Abstract and Keywords
Presentation 2018-03-19 16:05
Ellipse Self-window Method for High-speed High-resolution Optical Tracking of Medaka
Tomohiro Sueishi (Univ. of Tokyo), Takuya Ogawa, Shoji Yachida (NEC), Yoshihiro Watanabe, Masatoshi Ishikawa (Univ. of Tokyo) BioX2017-72 PRMU2017-208
Abstract (in Japanese) (See Japanese page) 
(in English) In aquaculture and aquarium, the necessity of health management of each individual of fish is increasing. However, in acquiring biological information of fish based on image measurement, due to the trade-off between angle of view and resolution, high-resolution measurement of free-swimming fish is difficult with wide-angle cameras that observe the entire range of motion. In this paper, we propose a new self-window method based on ellipse information for fish individual recognition in an optical high-speed tracking imaging system using rotational mirrors. The proposed ellipse self-window method has high robustness against shielding of other individuals, and it can recognize the head part as the center where the heart is located. In evaluation experiments, we showed that the proposed method can track Medaka (Oryzias latipes) quickly with the ellipse information, and confirmed the robustness to disturbance and the recognized center position close to the head part.
Keyword (in Japanese) (See Japanese page) 
(in English) High-speed Tracking / Self-window Method / High-speed Image Processing / High-speed Optical Axis Control / Biometric Information Recognition / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 514, PRMU2017-208, pp. 213-218, March 2018.
Paper # PRMU2017-208 
Date of Issue 2018-03-11 (BioX, PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 BioX  
Conference Date 2018-03-18 - 2018-03-19 
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 2018-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Ellipse Self-window Method for High-speed High-resolution Optical Tracking of Medaka 
Sub Title (in English)  
Keyword(1) High-speed Tracking  
Keyword(2) Self-window Method  
Keyword(3) High-speed Image Processing  
Keyword(4) High-speed Optical Axis Control  
Keyword(5) Biometric Information Recognition  
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1st Author's Name Tomohiro Sueishi  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Takuya Ogawa  
2nd Author's Affiliation NEC (NEC)
3rd Author's Name Shoji Yachida  
3rd Author's Affiliation NEC (NEC)
4th Author's Name Yoshihiro Watanabe  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
5th Author's Name Masatoshi Ishikawa  
5th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2018-03-19 16:05:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # BioX2017-72, PRMU2017-208 
Volume (vol) vol.117 
Number (no) no.513(BioX), no.514(PRMU) 
Page pp.213-218 
#Pages
Date of Issue 2018-03-11 (BioX, PRMU) 


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