Title :
Catching a Rat by Its Edglets
Author :
Farah, Robert ; Langlois, J. M. Pierre ; Bilodeau, Guillaume-Alexandre
Author_Institution :
Dept. of Comput. Eng. & Software Eng., Ecole Polytech. de Montreal, Montréal, QC, Canada
Abstract :
Computer vision is a noninvasive method for monitoring laboratory animals. In this article, we propose a robust tracking method that is capable of extracting a rodent from a frame under uncontrolled normal laboratory conditions. The method consists of two steps. First, a sliding window combines three features to coarsely track the animal. Then, it uses the edglets of the rodent to adjust the tracked region to the animal´s boundary. The method achieves an average tracking error that is smaller than a representative state-of-the-art method.
Keywords :
computer vision; computerised monitoring; image representation; object tracking; computer vision; laboratory animal monitoring; noninvasive method; robust tracking method; rodent extraction; sliding window; uncontrolled normal laboratory conditions; Color; Feature extraction; Histograms; Mice; Rodents; Target tracking; Animals computer vision; edge background; edglets; overlapped histograms of intensity; Algorithms; Animals; Behavior, Animal; Housing, Animal; Image Processing, Computer-Assisted; Monitoring, Ambulatory; Rats; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2012.2221726