A novel decentralised system architecture for multi-camera target tracking
Di Caterina, Gaetano and Doshi, Trushali and Soraghan, John J. and Petropoulakis, Lykourgos; (2016) A novel decentralised system architecture for multi-camera target tracking. In: Advanced Concepts for Intelligent Vision Systems (ACIVS2016). Lecture Notes in Computer Science, 10016 . Springer Berlin Heidelberg, ITA, pp. 92-104. ISBN 978-3-319-48679-6 (https://doi.org/10.1007/978-3-319-48680-2_9)
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Abstract
Target tracking in a multi-camera system is an active and challenging research that in many systems requires video synchronisation and knowledge of the camera set-up and layout. In this paper a highly flexible, modular and decentralised system architecture is presented for multi-camera target tracking with relaxed synchronisation constraints among camera views. Moreover, the system does not rely on positional information to handle camera hand-off events. As a practical application, the system itself can, at any time, automatically select the best target view available, to implicitly solve occlusion. Further, to validate the proposed architecture, an extension to a multi-camera environment of the colour-based IMS-SWAD tracker is used. The experimental results show that the tracker can successfully track a chosen target in multiple views, in both indoor and outdoor environments, with non-overlapping and overlapping camera views.
ORCID iDs
Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897, Doshi, Trushali ORCID: https://orcid.org/0000-0002-6556-112X, Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391 and Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670;-
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Item type: Book Section ID code: 57694 Dates: DateEvent21 October 2016Published10 August 2016AcceptedNotes: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-48680-2_9 Subjects: Science > Mathematics > Electronic computers. Computer science
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 06 Sep 2016 08:42 Last modified: 11 Nov 2024 15:06 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/57694