Topology-Constrained Layered Tracking with Latent Flow

@article{Chang2013TopologyConstrainedLT,
  title={Topology-Constrained Layered Tracking with Latent Flow},
  author={Jason Chang and John W. Fisher},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={161-168}
}
We present an integrated probabilistic model for layered object tracking that combines dynamics on implicit shape representations, topological shape constraints, adaptive appearance models, and layered flow. The generative model combines the evolution of appearances and layer shapes with a Gaussian process flow and explicit layer ordering. Efficient MCMC sampling algorithms are developed to enable a particle filtering approach while reasoning about the distribution of object boundaries in video… CONTINUE READING
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