Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Histogram-PMHT for extended targets and target groups in images
Author: Wieneke, M.
Davey, S.
Citation: IEEE Transactions on Aerospace and Electronic Systems, 2014; 50(3):2199-2217
Publisher: IEEE
Issue Date: 2014
ISSN: 0018-9251
Statement of
Monika Wieneke, Sam Davey
Abstract: This article deals with the integration of random matrices into the Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT), a parametric track-before-detect method that locates targets in imagery by fitting a mixture of probability densities. The random matrices are used to describe the unknown physical extent of targets in the sensor image, a parameter that can change with time depending on the target orientation and sensor geometry. The track management model is extended to allow merging and splitting targets. The performance of the algorithm is quantified through simulations and using a benchmark people surveillance data set from the CAVIAR project.
Rights: © 2014 IEEE
RMID: 0030021290
DOI: 10.1109/TAES.2014.120114
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.