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Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model.

Bui, Hung H., Venkatesh, Svetha and West, Geoff 2001, Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model., International journal of pattern recognition and artificial intelligence, vol. 15, no. 1, pp. 177-196.

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Title Tracking and surveillance in wide-area spatial environments using the abstract hidden markov model.
Author(s) Bui, Hung H.
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
West, Geoff
Journal name International journal of pattern recognition and artificial intelligence
Volume number 15
Issue number 1
Start page 177
End page 196
Total pages 20
Publisher World Scientific Publishing Co Pte Ltd
Place of publication Singapore
Publication date 2001-02
ISSN 0218-0014
1793-6381
Keyword(s) Dynamic Bayesian networks
Wide-area surveillance
Summary In this paper, we consider the problem of tracking an object and predicting the object's future trajectory in a wide-area environment, with complex spatial layout and the use of multiple sensors/cameras. To solve this problem, there is a need for representing the dynamic and noisy data in the tracking tasks, and dealing with them at different levels of detail. We employ the Abstract Hidden Markov Models (AHMM), an extension of the well-known Hidden Markov Model (HMM) and a special type of Dynamic Probabilistic Network (DPN), as our underlying representation framework. The AHMM allows us to explicitly encode the hierarchy of connected spatial locations, making it scalable to the size of the environment being modeled. We describe an application for tracking human movement in an office-like spatial layout where the AHMM is used to track and predict the evolution of object trajectories at different levels of detail.
Language eng
Field of Research 080104 Computer Vision
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2001, World Scientic Publishing Company
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044283

Document type: Journal Article
Collection: School of Information Technology
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