Accession Number : ADA520475


Title :   Hidden Markov Model as a Framework for Situational Awareness


Descriptive Note : Conference paper


Corporate Author : ARMY RESEARCH LAB ADELPHI MD


Personal Author(s) : Damarla, Thyagaraju


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a520475.pdf


Report Date : Jul 2008


Pagination or Media Count : 8


Abstract : In this paper we present a hidden Markov model (HMM) based framework for situational awareness that utilizes multi-sensor multiple modality data. Situational awareness is a process that comes to a conclusion based on the events that take place over a period of time across a wide area. We show that each state in the HMM is an event that leads to a situation and the transition from one state to another is determined based on the probability of detection of certain events using multiple sensors of multiple modalities - thereby using sensor fusion for situational awareness. We show the construction of HMM and apply it to the data collected using a suite of sensors on a Packbot.


Descriptors :   *MULTISENSORS , *SITUATIONAL AWARENESS , *MARKOV PROCESSES , SENSOR FUSION , SYMPOSIA , MATHEMATICAL MODELS


Subject Categories : Statistics and Probability


Distribution Statement : APPROVED FOR PUBLIC RELEASE