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):

Report Date:

2008-07-01

Pagination or Media Count:

8.0

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.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE