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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, Berlin, pp. 92-104. ISBN 978-3-319-48679-6

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Di_Caterina_etal_Acivs2016_Novel_decentralised_system_architecture_for_multi_camera_target_tracking.pdf - Accepted Author Manuscript
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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.