Wireless 3D localization of animals for trait and behavior analysis in indoor and outdoor areas

Abstract

This paper describes a system for three dimensional indoor and outdoor localization of animals using a sequential Monte-Carlo-Method. A Kalman based particle filter is used to improve the measurement quality by incorporating the dynamics of the target object. The positioning method was integrated into a system for animal behavior analysis which provides extensive features to identify habitual residence and movement patterns of the animals.