Bhaskar, H., Dwivedi, K., Dogra, D. et al. (2 more authors) (2015) Autonomous detection and tracking under illumination changes, occlusions and moving camera. Signal Processing, 117. pp. 343-354. ISSN 1872-7557
Abstract
In this paper,an autonomous multiple target detection and tracking technique fordynamic scenes that are influenced by illumination variations, occlusions and camera instability is proposed.The framework combines a novel Dynamic Reverse Analysis(DRA) approach with an Enhanced Rao-Blackwellized Particle Filter(E-RBPF) for multiple target detection and tracking, respectively.Th DRA method,in addition to providing accurate target localization, presents the E-RBPF scheme with costs associated with the differences in intensity caused by illumination variations between consecutive frame pairs in any video of a dynamic scene. The E-RBPF inherently models these costs, thus allowing the framework to (a) adapt learning parameters, (b distinguishbetweencamera-motionand object-motion,(c)dealwithsampledegeneracy,(d)provideappropriateappearance compensationduringlikelihoodmeasurementand(e)handleocclusion.Theproposed detect-and-track methodwhencomparedagainstothercompetingbaselinetechniques has demonstratedsuperiorperformancebothinaccuracyandrobustnessonchallenging videos frompubliclyavailabledatasets.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2015 Elsevier. This is an author produced version of a paper subsequently published in Signal Processing. Uploaded in accordance with the publisher's self-archiving policy. The article is distributed under the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/3.0/) |
Keywords: | Target detection; Tracking; Illumination variations; Occlusion; Camera movements; Reverse analysis; Rao-Blackwellized particle filter; Likelihood model |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Jul 2015 08:04 |
Last Modified: | 02 Jul 2017 07:01 |
Published Version: | http://dx.doi.org/10.1016/j.sigpro.2015.06.003 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.sigpro.2015.06.003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:87526 |