Multiple Views Tracking of Maritime Targets

This paper explores techniques for multiple views target tracking in a maritime environment using a mobile surveillance platform. We utilise an omnidirectional camera to capture full spherical video and use an Inertial Measurement Unit (IMU) to estimate the platform?s ego-motion. For each target a p...

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Bibliographic Details
Main Authors: Albrecht, Thomas, West, Geoffrey, Tan, Tele
Other Authors: Jian Zhang
Format: Conference Paper
Published: CPS 2010
Online Access:http://hdl.handle.net/20.500.11937/40350
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author Albrecht, Thomas
West, Geoffrey
Tan, Tele
author2 Jian Zhang
author_facet Jian Zhang
Albrecht, Thomas
West, Geoffrey
Tan, Tele
author_sort Albrecht, Thomas
building Curtin Institutional Repository
collection Online Access
description This paper explores techniques for multiple views target tracking in a maritime environment using a mobile surveillance platform. We utilise an omnidirectional camera to capture full spherical video and use an Inertial Measurement Unit (IMU) to estimate the platform?s ego-motion. For each target a part of the omnidirectional video is extracted, forming a corresponding set of virtual cameras. Each target is then tracked using a dynamic template matching method and particle filtering. Its predictions are then used to continuously adjust the orientations of the virtual cameras, keeping a lock on the targets. We demonstrate the performance of the application in several real-world maritime settings.
first_indexed 2025-11-14T09:02:48Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:02:48Z
publishDate 2010
publisher CPS
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spelling curtin-20.500.11937-403502023-01-18T08:46:44Z Multiple Views Tracking of Maritime Targets Albrecht, Thomas West, Geoffrey Tan, Tele Jian Zhang Chunhua Shen Glen Geers Qiang Wu This paper explores techniques for multiple views target tracking in a maritime environment using a mobile surveillance platform. We utilise an omnidirectional camera to capture full spherical video and use an Inertial Measurement Unit (IMU) to estimate the platform?s ego-motion. For each target a part of the omnidirectional video is extracted, forming a corresponding set of virtual cameras. Each target is then tracked using a dynamic template matching method and particle filtering. Its predictions are then used to continuously adjust the orientations of the virtual cameras, keeping a lock on the targets. We demonstrate the performance of the application in several real-world maritime settings. 2010 Conference Paper http://hdl.handle.net/20.500.11937/40350 CPS fulltext
spellingShingle Albrecht, Thomas
West, Geoffrey
Tan, Tele
Multiple Views Tracking of Maritime Targets
title Multiple Views Tracking of Maritime Targets
title_full Multiple Views Tracking of Maritime Targets
title_fullStr Multiple Views Tracking of Maritime Targets
title_full_unstemmed Multiple Views Tracking of Maritime Targets
title_short Multiple Views Tracking of Maritime Targets
title_sort multiple views tracking of maritime targets
url http://hdl.handle.net/20.500.11937/40350