Detecting lameness using 'Re-sampling Condensation' and 'Multi-stream cyclic hidden Markov models'

摘要

A system for the tracking and classification of livestock movements is presented. The combined 'tracker-classifier' scheme is based on a variant of Isard and Blakes 'Condensation' algorithm [Int. J.Comput. Vision (1998) 5] known as 'Re-sampling Condensation' in which a second set of samples is taken from each image in the input sequence based on the results of the initial Condensation sampling. This is analogous to a single iteration of a genetic algorithm and serves to incorporate image information in sample location.