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
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