DocumentCode :
2005378
Title :
RAT: Robust animal tracking
Author :
Farah, Rana ; Langlois, J. M Pierre ; Bilodeau, Guillaume-Alexandre
Author_Institution :
Comput. & Software Eng. Dept., Ecole Polytech. de Montreal, Montreal, QC, Canada
fYear :
2011
fDate :
17-18 Sept. 2011
Firstpage :
65
Lastpage :
70
Abstract :
Determining the motion pattern of laboratory animals is very important in order to monitor their reaction to various stimuli. In this paper, we propose a robust method to track animals, and consequently determine their motion pattern. The method is designed to work under uncontrolled normal laboratory conditions. It consists of two steps. The first step tracks the animal coarsely, using the combination of four features, while the second step refines the boundaries of the tracked area, in order to fit more precisely the boundaries of the animal. The method achieves an average tracking error smaller than 5% for our test videos.
Keywords :
image motion analysis; object tracking; video signal processing; RAT; laboratory animals; motion pattern; robust animal tracking; Animals; Image edge detection; Noise; Reflection; Target tracking; Videos; Computer vision; animal tracking; dimension refinement; optimizing score;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotic and Sensors Environments (ROSE), 2011 IEEE International Symposium on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-0819-0
Type :
conf
DOI :
10.1109/ROSE.2011.6058509
Filename :
6058509
Link To Document :
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