ICASSP 2015accepted0 citations
Histogram-PMHT with an evolving Poisson prior
Han X. Vu, Samuel J. Davey, Sanjeev Arulampalam, Fiona K. Fletcher, Cheng-Chew Lim
Abstract
The Histogram-Probabilistic Multi-Hypothesis Tracker (H-PMHT) is an efficient multi-target tracking approach to the Track-Before-Detect (TkBD) problem. However, it cannot adequately deal with fluctuating targets and this can degrade track management performance. By assuming an alternative measurement model based on a Poisson distribution, the H-PMHT algorithm can be re-derived to incorporate a time-correlated estimate of the component mixing terms, allowing for an improved measure for track quality.
BibTeX
@inproceedings{icassp2015_histogrampmhtwit,
title = {Histogram-PMHT with an evolving Poisson prior},
author = {Han X. Vu and Samuel J. Davey and Sanjeev Arulampalam and Fiona K. Fletcher and Cheng-Chew Lim},
booktitle = {ICASSP 2015},
year = {2015}
}