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Structural information approaches to tracking in video sequences.

Loza, Artur and Mihaylova, Lyudmila and Wang, Fanglin and Yang, Jie (2011) Structural information approaches to tracking in video sequences. In: Object Tracking. InTech, Croatia, pp. 23-48. ISBN 978-953-307-360-6

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Abstract

This book chapter presents recently developed approaches for object tracking in video combining the structural similarity measure with particle filtering techniques.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: particle filters ; object tracking in video ; structural similarity measure
Subjects: A General Works > AI Indexes (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 39954
Deposited By: Dr L Mihaylov
Deposited On: 14 Mar 2011 10:17
Refereed?: No
Published?: Published
Last Modified: 23 Sep 2013 15:49
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/39954

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