Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering

@article{Sankaranarayanan2008AlgorithmicAA,
  title={Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering},
  author={Aswin C. Sankaranarayanan and Ankur Srivastava and Rama Chellappa},
  journal={IEEE Transactions on Image Processing},
  year={2008},
  volume={17},
  pages={737-748}
}
In this paper, we analyze the computational challenges in implementing particle filtering, especially to video sequences. Particle filtering is a technique used for filtering nonlinear dynamical systems driven by non-Gaussian noise processes. It has found widespread applications in detection, navigation, and tracking problems. Although, in general, particle filtering methods yield improved results, it is difficult to achieve real time performance. In this paper, we analyze the computational… CONTINUE READING
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Novel approach to nonlinear/nongaussian bayesian state estimation

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