Online Video Stabilization Based on Particle Filters

@article{Yang2006OnlineVS,
  title={Online Video Stabilization Based on Particle Filters},
  author={Junlan Yang and Dan Schonfeld and Chong Chen and Magdi A. Mohamed},
  journal={2006 International Conference on Image Processing},
  year={2006},
  pages={1545-1548}
}
Particle filters have been introduced as a powerful tool to estimate the posterior density of nonlinear systems. These filters are also capable of processing data online as required in many practical applications. In this paper, we propose a novel technique for video stabilization based on the particle filtering framework. Scale-invariant feature points are extracted to form a rough estimate which is used to model the importance density. We use a constant-velocity Kalman filter model to… CONTINUE READING
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