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Multiple Drosophila Tracking System with Heading Direction
Machine vision systems have been widely used for image analysis, especially that which is beyond human ability. In biology, studies of behavior help scientists to understand the relationship between sensory stimuli and animal responses. This typically requires the analysis and quantification of anim...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298669/ https://www.ncbi.nlm.nih.gov/pubmed/28067800 http://dx.doi.org/10.3390/s17010096 |
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author | Sirigrivatanawong, Pudith Arai, Shogo Thoma, Vladimiros Hashimoto, Koichi |
author_facet | Sirigrivatanawong, Pudith Arai, Shogo Thoma, Vladimiros Hashimoto, Koichi |
author_sort | Sirigrivatanawong, Pudith |
collection | PubMed |
description | Machine vision systems have been widely used for image analysis, especially that which is beyond human ability. In biology, studies of behavior help scientists to understand the relationship between sensory stimuli and animal responses. This typically requires the analysis and quantification of animal locomotion. In our work, we focus on the analysis of the locomotion of the fruit fly [Formula: see text] [Formula: see text] , a widely used model organism in biological research. Our system consists of two components: fly detection and tracking. Our system provides the ability to extract a group of flies as the objects of concern and furthermore determines the heading direction of each fly. As each fly moves, the system states are refined with a Kalman filter to obtain the optimal estimation. For the tracking step, combining information such as position and heading direction with assignment algorithms gives a successful tracking result. The use of heading direction increases the system efficiency when dealing with identity loss and flies swapping situations. The system can also operate with a variety of videos with different light intensities. |
format | Online Article Text |
id | pubmed-5298669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-52986692017-02-10 Multiple Drosophila Tracking System with Heading Direction Sirigrivatanawong, Pudith Arai, Shogo Thoma, Vladimiros Hashimoto, Koichi Sensors (Basel) Article Machine vision systems have been widely used for image analysis, especially that which is beyond human ability. In biology, studies of behavior help scientists to understand the relationship between sensory stimuli and animal responses. This typically requires the analysis and quantification of animal locomotion. In our work, we focus on the analysis of the locomotion of the fruit fly [Formula: see text] [Formula: see text] , a widely used model organism in biological research. Our system consists of two components: fly detection and tracking. Our system provides the ability to extract a group of flies as the objects of concern and furthermore determines the heading direction of each fly. As each fly moves, the system states are refined with a Kalman filter to obtain the optimal estimation. For the tracking step, combining information such as position and heading direction with assignment algorithms gives a successful tracking result. The use of heading direction increases the system efficiency when dealing with identity loss and flies swapping situations. The system can also operate with a variety of videos with different light intensities. MDPI 2017-01-05 /pmc/articles/PMC5298669/ /pubmed/28067800 http://dx.doi.org/10.3390/s17010096 Text en © 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sirigrivatanawong, Pudith Arai, Shogo Thoma, Vladimiros Hashimoto, Koichi Multiple Drosophila Tracking System with Heading Direction |
title | Multiple Drosophila Tracking System with Heading Direction |
title_full | Multiple Drosophila Tracking System with Heading Direction |
title_fullStr | Multiple Drosophila Tracking System with Heading Direction |
title_full_unstemmed | Multiple Drosophila Tracking System with Heading Direction |
title_short | Multiple Drosophila Tracking System with Heading Direction |
title_sort | multiple drosophila tracking system with heading direction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298669/ https://www.ncbi.nlm.nih.gov/pubmed/28067800 http://dx.doi.org/10.3390/s17010096 |
work_keys_str_mv | AT sirigrivatanawongpudith multipledrosophilatrackingsystemwithheadingdirection AT araishogo multipledrosophilatrackingsystemwithheadingdirection AT thomavladimiros multipledrosophilatrackingsystemwithheadingdirection AT hashimotokoichi multipledrosophilatrackingsystemwithheadingdirection |