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Gravity optimised particle filter for hand tracking

Morshidi, Malik Arman and Tjahjadi, Tardi (2014) Gravity optimised particle filter for hand tracking. Pattern Recognition Letters, 47 (1). pp. 194-207. ISSN 01678655

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Abstract

This paper presents a gravity optimised particle filter (GOPF) where the magnitude of the gravitational force for every particle is proportional to its weight. GOPF attracts nearby particles and replicates new particles as if moving the particles towards the peak of the likelihood distribution, improving the sampling efficiency. GOPF is incorporated into a technique for hand features tracking. A fast approach to hand features detection and labelling using convexity defects is also presented. Experimental results show that GOPF outperforms the standard particle filter and its variants, as well as state-of-the-art CamShift guided particle filter using a significantly reduced number of particles.

Item Type: Article (Journal)
Additional Information: 4570/35420
Uncontrolled Keywords: Particle filter, Articulated hand tracking, Finger movement, Gravity, Convexity defects, CamShift
Subjects: Q Science > Q Science (General) > Q300 Cybernetics
T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr Malik Arman Morshidi
Date Deposited: 06 Feb 2014 08:18
Last Modified: 06 Feb 2014 08:18
URI: http://irep.iium.edu.my/id/eprint/35420

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