Hidden Markov models for silhouette classification

TitleHidden Markov models for silhouette classification
Publication TypeConference Papers
Year of Publication2002
AuthorsAbd-Almageed W, Smith C
Conference NameAutomation Congress, 2002 Proceedings of the 5th Biannual World
Date Published2002///
PublisherIEEE
ISBN Number1-889335-18-5
KeywordsComputer vision, Feature extraction, Fourier transforms, hidden Markov models, HMM, image classification, Neural networks, object classification, Object recognition, parameter estimation, pattern recognition, Probability distribution, Shape measurement, silhouette classification, Wavelet transforms
Abstract

In this paper, a new technique for object classification from silhouettes is presented. Hidden Markov models are used as a classification mechanism. Through a set of experiments, we show the validity of our approach and show its invariance under severe rotation conditions. Also, a comparison with other techniques that use hidden Markov models for object classification from silhouettes is presented.

DOI10.1109/WAC.2002.1049575