Parallelization of Particle Filter Algorithms

  • Matthew A. Goodrum
  • Michael J. Trotter
  • Alla Aksel
  • Scott T. Acton
  • Kevin Skadron
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6161)

Abstract

This paper presents the parallelization of the particle filter algorithm in a single target video tracking application. In this document we demonstrate the process by which we parallelized the particle filter algorithm, beginning with a MATLAB implementation. The final CUDA program provided approximately 71x speedup over the initial MATLAB implementation.

Keywords

Video Sequence Graphic Processing Unit Particle Filter Average Error Rate Global Synchronization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Matthew A. Goodrum
    • 1
  • Michael J. Trotter
    • 1
  • Alla Aksel
    • 2
  • Scott T. Acton
    • 2
  • Kevin Skadron
    • 1
  1. 1.Department of Computer ScienceUniversity of VirginiaCharlottesvilleUSA
  2. 2.Department of Electrical and Computer EngineeringUniversity of VirginiaCharlottesvilleUSA

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