A Qualitative Hidden Markov Model for Spatio-temporal Reasoning

Authors:
Zina M. Ibrahim;Ahmed Y. Tawfik;Alioune Ngom
Affiliations:
University of Windsor, Windsor, Canada N9B 3P4;University of Windsor, Windsor, Canada N9B 3P4;University of Windsor, Windsor, Canada N9B 3P4
Venue:
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2007

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Abstract

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.