DocumentCode :
3684048
Title :
Follow-me: A new start-and-stop method for visual animal tracking in biology research
Author :
Luis Javier Linares-Sánchez;José Luis Fernández-Alemán;Ginés García-Mateos;Ángel Pérez-Ruzafa;Francisco Javier Sánchez-Vázquez
Author_Institution :
Department of Informatics and Systems, Faculty of Computer Science, University of Murcia, 30100, Spain
fYear :
2015
Firstpage :
755
Lastpage :
758
Abstract :
Very frequently, research in biology and ethology requires visual tracking of live animals, such as insects, rodents and fish. The challenge is particularly difficult in the aquatic environment because of the light scattering effect of water: reflections and refractions, low contrast and resolution images, noise, and also due to the unpredictable animal behavior. This paper describes a new tracking method that is based in start and stop detection. When the animals stop or move very slowly, a precise tracker based on AdaBoost classifiers is applied. Otherwise, when they move faster, a more efficient process based on background detection is used. A control system is responsible for deciding which method should be used in each instant. The experimental results using sea cucumbers (Echinodermata, Holothuroidea), zebrafish and rodents, show the efficiency and accuracy of the proposed method, which is able to deal with complex situations.
Keywords :
"Animals","Tracking","Real-time systems","Streaming media","Visualization"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7318472
Filename :
7318472
Link To Document :
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