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Paper Abstract and Keywords
Presentation 2008-03-14 14:50
A Basic Study of Tracking Honeybees in Hive using Vector Quantization
Toshifumi Kimura, Hidetoshi Ikeno, Mizue Ohashi (Univ. of Hyogo), Ryuichi Okada, Etsuro Ito (Tokushima Bunri Univ.) MBE2007-133
Abstract (in Japanese) (See Japanese page) 
(in English) The analysis of biological function produced by both of individual and assemblage activity of animals is a challenging topic of behavioral ecology.
Social insects are possible tool for the analysis because numerous studies have been already done to clarify the behavioral factors of individuals.
Especially, honeybee is an ideal animal for the experiments because of the development of breeding techniques, existence of clear caste according to their age, efficient forage behavior adaptive for variable feeding places and high ability of honey storage in their colony.
Seeley et al. conducted many behavioral experiments in order to scrutinize honeybee behavior inside and outside of the nests.
However, these experiments normally have to put numbers on each body of thousands of honeybees to identify individuals and follow their behavior by hand, which require huge time and labors.
In this study, we developed a system to identify honeybee in a nest image and to follow plural honeybees simultaneously.
The system is composed by three parts, determination of the region of honeybee body from the other parts with vector quantization, extraction of the region of single honeybee bodies, and reorganization of single honeybees.
Our system succeeded to identify nearly 70% of honeybees in a hive automatically.
Keyword (in Japanese) (See Japanese page) 
(in English) honeybee / individual recognition / behavioral ecology / vector quantization / image processing / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 541, MBE2007-133, pp. 113-116, March 2008.
Paper # MBE2007-133 
Date of Issue 2008-03-06 (MBE) 
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 NC MBE  
Conference Date 2008-03-12 - 2008-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa Univ 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2008-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Basic Study of Tracking Honeybees in Hive using Vector Quantization 
Sub Title (in English)  
Keyword(1) honeybee  
Keyword(2) individual recognition  
Keyword(3) behavioral ecology  
Keyword(4) vector quantization  
Keyword(5) image processing  
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1st Author's Name Toshifumi Kimura  
1st Author's Affiliation University of Hyogo (Univ. of Hyogo)
2nd Author's Name Hidetoshi Ikeno  
2nd Author's Affiliation University of Hyogo (Univ. of Hyogo)
3rd Author's Name Mizue Ohashi  
3rd Author's Affiliation University of Hyogo (Univ. of Hyogo)
4th Author's Name Ryuichi Okada  
4th Author's Affiliation Tokushima Bunri University (Tokushima Bunri Univ.)
5th Author's Name Etsuro Ito  
5th Author's Affiliation Tokushima Bunri University (Tokushima Bunri Univ.)
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Speaker Author-1 
Date Time 2008-03-14 14:50:00 
Presentation Time 20 minutes 
Registration for MBE 
Paper # MBE2007-133 
Volume (vol) vol.107 
Number (no) no.541 
Page pp.113-116 
#Pages
Date of Issue 2008-03-06 (MBE) 


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