A Particle Filter Algorithm for Target Tracking in Images

Marcelo G. S. Bruno

DOI: 10.14209/its.2002.418

Evento: 2002 International Telecommunications Symposium (ITS2002)

Keywords:

Abstract

"We present in this paper a new algorithm for target tracking in cluttered image sequences using the bootstrap particle filter. The proposed algorithm incorporates the models for target signature, target motion and clutter correlation and allows for direct tracking from the image sequence. Monte Carlo simulation results show that the bootstrap tracker outperforms the association of a single frame maximum likelihood position estimator and a Kalman-Bucy filter (KBf) in a scenario with a heavily cluttered, dim target."

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