RT info:eu-repo/semantics/article
T1 Automated Tracking of Drosophila Specimens
A1 Chao, Rubén
A1 Macía Vázquez, Germán
A1 Zalama Casanova, Eduardo
A1 Gómez García-Bermejo, Jaime
A1 Perán González, José Ramón
K1 Visión artificial (robótica)
AB The fruit fly Drosophila Melanogaster has become a model organism in the studyof neurobiology and behavior patterns. The analysis of the way the fly moves and itsbehavior is of great scientific interest for research on aspects such as drug tolerance,aggression or ageing in humans. In this article, a procedure for detecting, identifying andtracking numerous specimens of Drosophila by means of computer vision-based sensingsystems is presented. This procedure allows dynamic information about each specimen to becollected at each moment, and then for its behavior to be quantitatively characterized. Theproposed algorithm operates in three main steps: a pre-processing step, a detection andsegmentation step, and tracking shape. The pre-processing and segmentation steps allowsome limits of the image acquisition system and some visual artifacts (such as shadows andreflections) to be dealt with. The improvements introduced in the tracking step allow theproblems corresponding to identity loss and swaps, caused by the interaction betweenindividual flies, to be solved efficiently. Thus, a robust method that compares favorably toother existing methods is obtained.
PB MDPI
SN 1424-8220
YR 2015
FD 2015
LK http://uvadoc.uva.es/handle/10324/21049
UL http://uvadoc.uva.es/handle/10324/21049
LA eng
NO Rubén Chao, Germán Macía-Vázquez, Eduardo Zalama, Jaime Gómez-García-Bermejo, and José-Ramón Perán. Automated Tracking of Drosophila Specimens. Sensors. 2015, vol.15. p. 19363-19392
NO Producción Científica
DS UVaDOC
RD 19-abr-2024