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2005
IEEE

Bayesian visual tracking with existence process

9 years 10 months ago
Bayesian visual tracking with existence process
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show how object existence can be rigorously integrated within the Bayesian single and multiple object tracking framework. We provide a general treatment that impacts as little as possible on existing tracking algorithms, so that software can be reused, and that allows implementation with Kalman Filters, Extended Kalman Filters, Particle Filters, etc. We apply the proposed framework to colour-based tracking of multiple objects.
Jaco Vermaak, Mark Briers, Patrick Pérez, S
Added 23 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2005
Where ICIP
Authors Jaco Vermaak, Mark Briers, Patrick Pérez, Simon Maskell
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