Mihaylova, L., Carmi, A.Y., Septier, F. et al. (3 more authors) (2014) Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking. Digital Signal Processing, 25. pp. 1-16. ISSN 1051-2004
Abstract
This work presents the current state-of-the-art in techniques for tracking a number of objects moving in a coordinated and interacting fashion. Groups are structured objects characterized with particular motion patterns. The group can be comprised of a small number of interacting objects (e.g. pedestrians, sport players, convoy of cars) or of hundreds or thousands of components such as crowds of people. The group object tracking is closely linked with extended object tracking but at the same time has particular features which differentiate it from extended objects. Extended objects, such as in maritime surveillance, are characterized by their kinematic states and their size or volume. Both group and extended objects give rise to a varying number of measurements and require trajectory maintenance. An emphasis is given here to sequential Monte Carlo (SMC) methods and their variants. Methods for small groups and for large groups are presented, including Markov Chain Monte Carlo (MCMC) methods, the random matrices approach and Random Finite Set Statistics methods. Efficient real-time implementations are discussed which are able to deal with the high dimensionality and provide high accuracy. Future trends and avenues are traced. © 2013 Elsevier Inc. All rights reserved.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 The Authors. Published by Elsevier Inc. Open Access under CC-BY-NC-NC licence (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
Keywords: | Sequential Monte Carlo methods; Group and extended object tracking; Markov chain Monte Carlo methods; Nonlinear filtering; Metropolis Hastings; Reasoning over time |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Oct 2015 12:34 |
Last Modified: | 30 Oct 2015 12:34 |
Published Version: | http://dx.doi.org/10.1016/j.dsp.2013.11.006 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.dsp.2013.11.006 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90744 |