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Sensors 2017, 17(1), 96; doi:10.3390/s17010096

Multiple Drosophila Tracking System with Heading Direction

1
Graduate School of Information Sciences, Tohoku University, Aramaki Aza Aoba 6-6-01, Aoba-Ku, Sendai 980-8579, Japan
2
Graduate School of Engineering, Tohoku University, Aramaki Aza Aoba 6-6-01, Aoba-Ku, Sendai 980-8579, Japan
3
Graduate School of Life Sciences, Tohoku University, Katahira 2-1-1, Miyagi, Sendai 980-8577, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 23 September 2016 / Revised: 24 December 2016 / Accepted: 27 December 2016 / Published: 5 January 2017
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [11056 KB, uploaded 5 January 2017]   |  

Abstract

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 D r o s o p h i l a m e l a n o g a s t e r , 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. View Full-Text
Keywords: Drosophila; tracking; Kalman filter; machine vision Drosophila; tracking; Kalman filter; machine vision
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Sirigrivatanawong, P.; Arai, S.; Thoma, V.; Hashimoto, K. Multiple Drosophila Tracking System with Heading Direction. Sensors 2017, 17, 96.

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