Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108770
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Type: Conference paper
Title: A Linear Complexity Approximate Method for Multi-Target Particle Filter Track Before Detect
Author: Davey, S.
Cheung, B.
Citation: Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015, pp.23-28
Publisher: IEEE
Issue Date: 2015
ISBN: 9781467367950
Conference Name: 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, Australia)
Statement of
Responsibility: 
Samuel J. Davey, and Brian Cheung
Abstract: The particle filter offers the optimal Bayesian filter for track before detect with a single target. However, direct application to the case of multiple targets can be infeasible because the number of particles required grows exponentially. This paper presents a new method for efficiently implementing track before detect for multiple targets using particles. This method is compared with alternative options on a challenging scenario with up to 20 targets.
Keywords: Target tracking; proposals; atmospheric measurements; particle measurements; niobium; estimation; probability density function
Rights: © 2015 Crown
DOI: 10.1109/DICTA.2015.7371215
Published version: http://dx.doi.org/10.1109/dicta.2015.7371215
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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