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An Efficient Visual Tracking Method for Multiple Moving Targets

Chen, Xiaohui and Bull, David R. and Mihaylova, Lyudmila and Canagarajah, Nishan (2007) An Efficient Visual Tracking Method for Multiple Moving Targets. In: Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on. IEEE Computer Society, Washington, DC, USA, pp. 267-270. ISBN 978-0-7695-3073-4

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Abstract

An efficient algorithm of the edge detection according to integrating the edge gradient with the average filter is proposed, which can significantly reduce sensitivity of the background subtraction method to noise and illumination. Taking into account the features of the target such as colour, size, etc., a new modified nearest neighbour (NN) algorithm for data association using the target features is designed. A designed interacting multiple model (IMM) filter is utilized to track the maneuvering target motion, i.e. the feature point (called the centroid of the target) motion of the target. The algorithms are validated via an example with natural video sequences. The results show the algorithms are performances and validity for visual tracking. In complex environment, the algorithm can still work well.

Item Type: Contribution in Book/Report/Proceedings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 57493
Deposited By: ep_importer_pure
Deposited On: 11 Oct 2012 13:07
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 01:25
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/57493

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