title: Machine vision application in animal trajectory tracking.
abstract: This article was motivated by the doctors' demand to make a technical support in pathologies of gastrointestinal tract research [10], which would be based on machine vision tools. Proposed solution should be less expensive alternative to already existing RF (radio frequency) methods. The objective of whole experiment was to evaluate the amount of animal motion dependent on degree of pathology (gastric ulcer). In the theoretical part of the article, several methods of animal trajectory tracking are presented: two differential methods based on background subtraction, the thresholding methods based on global and local threshold and the last method used for animal tracking was the color matching with a chosen template containing a searched spectrum of colors. The methods were tested offline on five video samples. Each sample contained situation with moving guinea pig locked in a cage under various lighting conditions.
authors.affiliation: University of Žilina, Žilina, Slovakia.
authors.forename: Dušan
authors.initials: D
authors.lastname: Koniar
authors.affiliation: University of Žilina, Žilina, Slovakia. Electronic address: libor.hargas@fel.uniza.sk.
authors.forename: Libor
authors.initials: L
authors.lastname: Hargaš
authors.affiliation: University of Žilina, Žilina, Slovakia.
authors.forename: Zuzana
authors.initials: Z
authors.lastname: Loncová
authors.affiliation: Slovak University of Technology, Bratislava, Slovakia.
authors.forename: František
authors.initials: F
authors.lastname: Duchoň
authors.affiliation: Slovak University of Technology, Bratislava, Slovakia.
authors.forename: Peter
authors.initials: P
authors.lastname: Beňo
mesh_terms: D000818:Animals; D006168:Guinea Pigs; D011846:Radio Waves; D014785:Vision, Ocular
keywords: Animal tracking; Color matching; Differential methods; Thresholding-based methods