2007 | OriginalPaper | Buchkapitel
A Qualitative Hidden Markov Model for Spatio-temporal Reasoning
verfasst von : Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
Erschienen in: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Verlag: Springer Berlin Heidelberg
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We present a Hidden Markov Model that uses qualitative order of magnitude probabilities for its states and transitions. We use the resulting model to construct a formalization of qualitative spatiotemporal events as random processes and utilize it to build high-level natural language description of change. We use the resulting model to show an example of foreseen usage of well-known prediction and recognition techniques used in Hidden Markov Models to perform useful queries with the representation.