期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2014
卷号：3
期号：3
页码：508
出版社：International Journal of Computer and Information Technology
摘要：Collars equipped with GPS/GSM device provide automated remote tracking of animal at successive time intervals. Since animal movement is complex and irregular, methods based on repetitiveness of human movement cannot be applied to animals. In this paper we propose a method for animal movement pattern discovery using Hidden Markov model. We present a prototype for pattern discovery which enables arbitrary definition of model states by an expert in the field, as well as marking the patterns for learning phase of the method. Case studies of wolf and bear movements validate the method and show promising results - up to 94.02% accuracy in detecting the patterns among foraging, travelling and bedding for wolfs, and up to 82.14% accuracy in detecting feeding, resting and travelling patterns for bears on intermediate spatio-temporal scale.
关键词：moving objects; animal movement; pattern ; discovery; hidden Markov model
