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NIPS 2007: Generative Models of Video

Author:movellan @ December 5th, 2007 Leave a Comment

These guys below presented a Kalman filter model of image motion. The amazing part is that the inputs were actual video, i.e., the observables were pixels. They had to learn the model parameters and then they used that to generate video. I was shocked by the results. There was video of a fountain and the kalman filter kept generating video that truly looked like the real thing. It only used 4 internal states. We really shall look into this as a potential way to model expressions.

  • Here is the reference. A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
    Sajid Siddiqi, Byron Boots, Geoffrey Gordon Download