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 |
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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MBE2007-133 |
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) |
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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) |
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Keyword(1) |
honeybee |
Keyword(2) |
individual recognition |
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behavioral ecology |
Keyword(4) |
vector quantization |
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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 |
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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 |
4 |
Date of Issue |
2008-03-06 (MBE) |
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