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Proceedings Paper

Particle filtering with multiple cues for object tracking in video sequences
Author(s): Paul A. Brasnett; Lyudmila Mihaylova; Nishan Canagarajah; David Bull
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Paper Abstract

In this paper we investigate object tracking in video sequences by using the potential of particle filtering to process features from video frames. A particle filter (PF) and a Gaussian sum particle filter (GSPF) are developed based upon multiple information cues, namely colour and texture, which are described with highly nonlinear models. The algorithms rely on likelihood factorisation as a product of the likelihoods of the cues. We demonstrate the advantages of tracking with multiple independent complementary cues compared to tracking with individual cues. The advantages are increased robustness and improved accuracy. The performance of the two filters is investigated and validated over both synthetic and natural video sequences.

Paper Details

Date Published: 14 March 2005
PDF: 12 pages
Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); doi: 10.1117/12.585882
Show Author Affiliations
Paul A. Brasnett, Univ. of Bristol (United Kingdom)
Lyudmila Mihaylova, Univ. of Bristol (United Kingdom)
Nishan Canagarajah, Univ. of Bristol (United Kingdom)
David Bull, Univ. of Bristol (United Kingdom)


Published in SPIE Proceedings Vol. 5685:
Image and Video Communications and Processing 2005
Amir Said; John G. Apostolopoulos, Editor(s)

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