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Robust real-time tracking for visual surveillance

Thirde, D., Borg, M., Aguilera, J., Wildenauer, H., Ferryman, J. and Kampel, M. (2007) Robust real-time tracking for visual surveillance. Eurasip Journal on Advances in Signal Processing, 2007. 96568 . ISSN 1110-8657

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To link to this item DOI: 10.1155/2007/96568

Abstract/Summary

This paper describes a real-time multi-camera surveillance system that can be applied to a range of application domains. This integrated system is designed to observe crowded scenes and has mechanisms to improve tracking of objects that are in close proximity. The four component modules described in this paper are (i) motion detection using a layered background model, (ii) object tracking based on local appearance, (iii) hierarchical object recognition, and (iv) fused multisensor object tracking using multiple features and geometric constraints. This integrated approach to complex scene tracking is validated against a number of representative real-world scenarios to show that robust, real-time analysis can be performed. Copyright (C) 2007 Hindawi Publishing Corporation. All rights reserved.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:15397

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