Estimating Orientation of Flying Fruit Flies.

The recently growing interest in studying flight behaviours of fruit flies, Drosophila melanogaster, has highlighted the need for developing tools that acquire quantitative motion data. Despite recent advance of video tracking systems, acquiring a flying fly's orientation remains a challenge fo...

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Main Authors: Xi En Cheng, Shuo Hong Wang, Zhi-Ming Qian, Yan Qiu Chen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4501570?pdf=render
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author Xi En Cheng
Shuo Hong Wang
Zhi-Ming Qian
Yan Qiu Chen
author_facet Xi En Cheng
Shuo Hong Wang
Zhi-Ming Qian
Yan Qiu Chen
author_sort Xi En Cheng
collection DOAJ
description The recently growing interest in studying flight behaviours of fruit flies, Drosophila melanogaster, has highlighted the need for developing tools that acquire quantitative motion data. Despite recent advance of video tracking systems, acquiring a flying fly's orientation remains a challenge for these tools. In this paper, we present a novel method for estimating individual flying fly's orientation using image cues. Thanks to the line reconstruction algorithm in computer vision field, this work can thereby focus on the practical detail of implementation and evaluation of the orientation estimation algorithm. The orientation estimation algorithm can be incorporated into tracking algorithms. We rigorously evaluated the effectiveness and accuracy of the proposed algorithm by running experiments both on simulation data and on real-world data. This work complements methods for studying the fruit fly's flight behaviours in a three-dimensional environment.
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spelling doaj.art-4c447c5952d2412dba7d2e44b1a0b85d2022-12-21T18:58:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01107e013210110.1371/journal.pone.0132101Estimating Orientation of Flying Fruit Flies.Xi En ChengShuo Hong WangZhi-Ming QianYan Qiu ChenThe recently growing interest in studying flight behaviours of fruit flies, Drosophila melanogaster, has highlighted the need for developing tools that acquire quantitative motion data. Despite recent advance of video tracking systems, acquiring a flying fly's orientation remains a challenge for these tools. In this paper, we present a novel method for estimating individual flying fly's orientation using image cues. Thanks to the line reconstruction algorithm in computer vision field, this work can thereby focus on the practical detail of implementation and evaluation of the orientation estimation algorithm. The orientation estimation algorithm can be incorporated into tracking algorithms. We rigorously evaluated the effectiveness and accuracy of the proposed algorithm by running experiments both on simulation data and on real-world data. This work complements methods for studying the fruit fly's flight behaviours in a three-dimensional environment.http://europepmc.org/articles/PMC4501570?pdf=render
spellingShingle Xi En Cheng
Shuo Hong Wang
Zhi-Ming Qian
Yan Qiu Chen
Estimating Orientation of Flying Fruit Flies.
PLoS ONE
title Estimating Orientation of Flying Fruit Flies.
title_full Estimating Orientation of Flying Fruit Flies.
title_fullStr Estimating Orientation of Flying Fruit Flies.
title_full_unstemmed Estimating Orientation of Flying Fruit Flies.
title_short Estimating Orientation of Flying Fruit Flies.
title_sort estimating orientation of flying fruit flies
url http://europepmc.org/articles/PMC4501570?pdf=render
work_keys_str_mv AT xiencheng estimatingorientationofflyingfruitflies
AT shuohongwang estimatingorientationofflyingfruitflies
AT zhimingqian estimatingorientationofflyingfruitflies
AT yanqiuchen estimatingorientationofflyingfruitflies