Touch tracking with a particle filter

Authors:
Ignas Kukenys;Brendan Mccane
Affiliations:
NextWindow Ltd., Ponsonby, New Zealand 1011;Department of Computer Science, University of Otago, Dunedin, New Zealand 9054
Venue:
Machine Vision and Applications
Year:
2013

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Abstract

We report on a system for multi-touch tracking from linescan cameras using particle filters. We show that a particle filter incorporating a local search element is almost as accurate as an exhaustive search algorithm and is significantly faster as the number of touches increases. The system achieves over 95 % correct tracking with an error tolerance of 1 mm for up to eight touches.