Motion Estimation via Belief Propagation

Authors:
Giuseppe Boccignone;Angelo Marcelli;Paolo Napoletano;Mario Ferraro
Affiliations:
University of Salerno, Italy;University of Salerno, Italy;University of Salerno, Italy;University of Torino, Italy
Venue:
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Year:
2007

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Belief propagation for continuous state spaces: stochastic message-passing with quantitative guarantees

The Journal of Machine Learning Research

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Abstract

We present a probabilistic model for motion estimation in which motion characteristics are inferred on the basis of a finite mixture of motion models. The model is graphically represented in the form of a pairwise Markov Random Field network upon which a Loopy Belief Propagation algorithm is exploited to perform inference. Experiments on different video clips are presented and discussed.