GPU-supported object tracking using adaptive appearance models and particle swarm optimization

  • Authors:
  • Boguslaw Rymut;Bogdan Kwolek

  • Affiliations:
  • Rzeszów University of Technology, Rzeszów, Poland;Rzeszów University of Technology, Rzeszów, Poland

  • Venue:
  • ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
  • Year:
  • 2010

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Abstract

This paper demonstrates how CUDA-capable Graphics Processor Unit can be effectively used to accelerate a tracking algorithm based on adaptive appearance models. The object tracking is achieved by particle swarm optimization algorithm. Experimental results show that the GPU implementation of the algorithm exhibits a more than 40-fold speed-up over the CPU implementation.