Robust Multi-Object Tracking: A Labeled Random Finite Set Approach

The labeled random finite set based generalized multi-Bernoulli filter is a tractable analytic solution for the multi-object tracking problem. The robustness of this filter is dependent on certain knowledge regarding the multi-object system being available to the filter. This dissertation presents t...

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Main Author: Gardiyawasam Punchihewa, Yuthika Samanmali
Format: Thesis
Published: Curtin University 2018
Online Access:http://hdl.handle.net/20.500.11937/75844
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author Gardiyawasam Punchihewa, Yuthika Samanmali
author_facet Gardiyawasam Punchihewa, Yuthika Samanmali
author_sort Gardiyawasam Punchihewa, Yuthika Samanmali
building Curtin Institutional Repository
collection Online Access
description The labeled random finite set based generalized multi-Bernoulli filter is a tractable analytic solution for the multi-object tracking problem. The robustness of this filter is dependent on certain knowledge regarding the multi-object system being available to the filter. This dissertation presents techniques for robust tracking, constructed upon the labeled random finite set framework, where complete information regarding the system is unavailable.
first_indexed 2025-11-14T11:06:01Z
format Thesis
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:06:01Z
publishDate 2018
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-758442019-07-16T06:07:55Z Robust Multi-Object Tracking: A Labeled Random Finite Set Approach Gardiyawasam Punchihewa, Yuthika Samanmali The labeled random finite set based generalized multi-Bernoulli filter is a tractable analytic solution for the multi-object tracking problem. The robustness of this filter is dependent on certain knowledge regarding the multi-object system being available to the filter. This dissertation presents techniques for robust tracking, constructed upon the labeled random finite set framework, where complete information regarding the system is unavailable. 2018 Thesis http://hdl.handle.net/20.500.11937/75844 Curtin University fulltext
spellingShingle Gardiyawasam Punchihewa, Yuthika Samanmali
Robust Multi-Object Tracking: A Labeled Random Finite Set Approach
title Robust Multi-Object Tracking: A Labeled Random Finite Set Approach
title_full Robust Multi-Object Tracking: A Labeled Random Finite Set Approach
title_fullStr Robust Multi-Object Tracking: A Labeled Random Finite Set Approach
title_full_unstemmed Robust Multi-Object Tracking: A Labeled Random Finite Set Approach
title_short Robust Multi-Object Tracking: A Labeled Random Finite Set Approach
title_sort robust multi-object tracking: a labeled random finite set approach
url http://hdl.handle.net/20.500.11937/75844