Multiple Drosophila tracking with heading direction in crossover and touching scenarios

Pudith Sirigrivatanawong, Koichi Hashimoto

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

1 Citation (Scopus)

Abstract

Study of behavior changes in model animals is an important part of biologists' research. This requires tracking of each individual in a group of animals moving in an arena. But, manually performing tracking analysis is a laborious work. Though, machine vision is a useful tool for locomotion analysis since it can provide more precise and time efficient measurements. For analysis of a group of Drosophila (common fruit fly) using machine vision, problem of identity swapping occurs in tracking process due to abrupt behavior of flies. The main causes of identity swapping are crossing over and touching of the flies, which lead to tracking failures. This study introduces an approach to tackle identity swapping in a crossover scenario. It determines the heading direction by wing detection process, in addition to the detection of each fly's position. Using both position and heading direction information together with a combination of two assignment methods, Closest Neighbor (CN) and Predict-Matching (PM), the problem of crossover identity swapping could be considerably eliminated. The experiment's results prove that the method using both CN and PM has significant improvement over the one using only PM, which is a commonly utilized method in machine vision for locomotion analysis.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1954-1959
Number of pages6
ISBN (Electronic)9781509043644
DOIs
Publication statusPublished - 2016 Jan 1
Event2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016 - Qingdao, China
Duration: 2016 Dec 32016 Dec 7

Publication series

Name2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016

Other

Other2016 IEEE International Conference on Robotics and Biomimetics, ROBIO 2016
CountryChina
CityQingdao
Period16/12/316/12/7

ASJC Scopus subject areas

  • Hardware and Architecture
  • Artificial Intelligence
  • Control and Systems Engineering

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