Parallel appearance-adaptive models for real-time object tracking using particle swarm optimization

Authors:
Boguslaw Rymut;Bogdan Kwolek
Affiliations:
Rzeszów University of Technology, Rzeszów, Poland;Rzeszów University of Technology, Rzeszów, Poland
Venue:
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Year:
2011

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Abstract

This paper demonstrates how appearance adaptive models can be employed for real-time object tracking using particle swarm optimization. The parallelization of the code is done using OpenMP directives and SSE instructions. We show the performance of the algorithm that was evaluated on multi-core CPUs. Experimental results demonstrate the performance of the algorithm in comparison to our GPU based implementation of the object tracker using appearance-adaptive models. The algorithm has been tested on real image sequences.