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https://hdl.handle.net/2440/70881
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Type: | Conference paper |
Title: | H-PMHT with an unknown arbitrary target |
Author: | Davey, S. Wieneke, M. |
Citation: | Proceedings of the 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011), held in Adelaide, Australia, December 6-9 2011: pp.443-448 |
Publisher: | Commonwealth of Australia |
Publisher Place: | CD |
Issue Date: | 2011 |
ISBN: | 9781457706752 |
Conference Name: | Intelligent Sensors, Sensor Networks and Information Processing (7th : 2011 : Adelaide, Australia) |
Statement of Responsibility: | Samuel J. Davey, Monika Wieneke |
Abstract: | The Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT) is a parametric track-before-detect algorithm that has been shown to give good performance at a relatively low computation cost. The original algorithm assumes a known target signature and provides joint detection and tracking. A recent advance has allowed for the estimation of a time evolving Gaussian signature. This paper introduces a non-parametric method for learning an arbitrary target signature. The two methods are compared on Gaussian and non-Gaussian targets. |
Rights: | © 2011 Commonwealth of Australia |
DOI: | 10.1109/ISSNIP.2011.6146556 |
Description (link): | http://www.issnip.org/~issnip2011/index.htm |
Published version: | http://dx.doi.org/10.1109/issnip.2011.6146556 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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