Hidden Markov models applied to snakes behavior identification

Authors:
Wesley Nunes Gonçalves;Jonathan de Andrade Silva;Bruno Brandoli Machado;Hemerson Pistori;Albert Schiaveto de Souza
Affiliations:
Dom Bosco Catholic University, Research Group in Engineering and Computing, Campo Grande, MS, Brazil;Dom Bosco Catholic University, Research Group in Engineering and Computing, Campo Grande, MS, Brazil;Dom Bosco Catholic University, Research Group in Engineering and Computing, Campo Grande, MS, Brazil;Dom Bosco Catholic University, Research Group in Engineering and Computing, Campo Grande, MS, Brazil;Dom Bosco Catholic University, Research Group in Engineering and Computing, Campo Grande, MS, Brazil
Venue:
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Year:
2007

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Abstract

This paper presents an application of the hidden Markov models (HMMs) to the recognition of snakes behaviors, an important and hard problem that, as far as the authors know, has not been tackled before, by the computer vision community. Experiments were conducted using different HMM configurations, including modifications on the number of internal states and the initialization procedures. The best results have shown a 84% correct classification rate, using HMMs with 4 states and an initialization procedure based on the K-Means algorithm.