Lancaster EPrints

Object Tracking by Particle Filtering Techniques in Video Sequences

Mihaylova, L and Brasnett, P and Canagarajah, N and Bull, D (2007) Object Tracking by Particle Filtering Techniques in Video Sequences. In: Advances and Challenges in Multisensor Data and Information. NATO Security Through Science Series, 8 . IOS Press, Netherlands, pp. 260-268. ISBN 978-1-58603-727-7

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Abstract

Object tracking in video sequences is a challenging task and has various applications. We review particle filtering techniques for tracking single and multiple moving objects in video sequences, by using different features such as colour, shape, motion, edge and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be overcome. Results of a particular particle filter with colour and texture cues are reported. Conclusions and open research issues are formulated.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: particle filtering ; sensor data fusion ; tracking in video sequences ; DCS-publications-id ; incoll-67 ; DCS-publications-credits ; dsp-fa ; DCS-publications-personnel-id ; 121
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 1010
Deposited By: Dr L Mihaylov
Deposited On: 28 Jan 2008 08:49
Refereed?: No
Published?: Published
Last Modified: 17 Sep 2013 09:15
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/1010

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