Adelaide Research & Scholarship
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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 |
| Appears in Collections: | Aurora harvest 3 Electrical and Electronic Engineering publications |
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