Multiple Drosophila tracking and posture estimation algorithm

Shogo Arai, Pudith Sirigrivatanawong, Koichi Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The analysis of animal locomotion is critical for characterizing and ultimately understanding behaviour. While locomotion quantification of single animals is straightforward, simultaneous analysis of multiple animals in a group is challenging. If performed manually, such analyses are labour-intensive and potentially unreliable, thereby necessitating the use of machine vision algorithms for automatic processing. Machine vision algorithms need to reliably label each animal and maintain all animal identities throughout the video-recorded experiment. This allows detailed characterization of behaviours such as taxis, locomotion and social interaction. In this study, we present an algorithm for analysing the locomotion behaviour of the fruit fly Drosophila melanogaster, a popular model organism in neurobiology. Our algorithm detects all flies inside a circular arena, determines their position and orientation and assigns fly identities between consecutive frame pairs. Position and orientation of the flies are accurately estimated with average errors of 0.108 ± 0.006 mm (approximately 5% of fly body length) and 2.2 ± 0.2°, respectively. Importantly, fly identity is correctly assigned in 99.5% of the cases. Our algorithm can be used to quantify the linear and angular velocities of walking flies in the presence or absence of various behaviourally important stimuli.

Original languageEnglish
Title of host publication2015 4th International Conference on Informatics, Electronics and Vision, ICIEV 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467369022
DOIs
Publication statusPublished - 2015 Nov 20
Event4th International Conference on Informatics, Electronics and Vision, ICIEV 2015 - Fukuoka, Japan
Duration: 2015 Jun 152015 Jun 18

Publication series

Name2015 4th International Conference on Informatics, Electronics and Vision, ICIEV 2015

Other

Other4th International Conference on Informatics, Electronics and Vision, ICIEV 2015
CountryJapan
CityFukuoka
Period15/6/1515/6/18

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Multiple Drosophila tracking and posture estimation algorithm'. Together they form a unique fingerprint.

Cite this