A Qualitative Hidden Markov Model for Spatio-temporal Reasoning
نویسندگان
چکیده
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.
منابع مشابه
Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs
This work proposes a graph mining based approach to mine a taxonomy of events from activities for complex videos which are represented in terms of qualitative spatio-temporal relationships. A Hidden Markov Model to obtain stable qualitative spatial relations from noisy measurements is introduced. The effectiveness of the approach is demonstrated through experimental results for a complex aircra...
متن کاملContext-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملAssessment of Neonate's Congenital Hypothyroidism Pattern Using Poisson Spatio-temporal Model in Disease Mapping under the Bayesian Paradigm during 2011-18 in Guilan, Iran
Background: Congenital Hypothyroidism (CH) is one of the reasons for mental retardation and defective growth in neonates. It can be treated if it is diagnosed early. The congenital hypothyroidism can be diagnosed using newborn screening in the first days after birth. Disease mapping helps to identify high-risk areas of the disease. This study aimed to evaluate the pattern of CH using the Poisso...
متن کاملPerceptual Narratives of Space and Motion for Activity Interpretation
We propose a commonsense theory of space and motion for the high-level semantic interpretation of dynamic scenes. The theory provides primitives for commonsense representation and reasoning with qualitative spatial relations, depth profiles, and spatio-temporal change; these may be combined with a learning method (e.g., using hidden markov models) for modelling and hypothesising event and objec...
متن کاملChapter 7 Seamless Interfacing : Situation Awareness through Action Recognition and Spatio - Temporal Reasoning
Intuitive means of human-machine interaction are needed in order to facilitate seamless human-robot cooperation. Knowledge about human posture, whereabouts, and performed actions allows interpretation of the situation. Thus, expectations towards system behavior can be inferred. This work demonstrates a system in an industrial setting that combines all this information in order to achieve situat...
متن کامل