Laboratory animals tracking in videosequences

This article deals with tracking of laboratory animals (guinea pigs) in cage. Authors collective applied machine vision tools based on global automatic thresholding, adaptive thresholding, differential operators and color matching algorithms. Animal activity and trajectory is significant marker in research of selected pathologies (gastrointestinal diseases in our case). Tracking is done in the huge database of videosequences of healthy animals (reference) and animals with induced gastric pain (gastric ulcer). The solution also be used like non-expensive replacement of radio-frequency laboratory trackers.