loading...
Motion Estimation via Belief Propagation
Modena, Italy September 10-September 14
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2007.8814th International Conference on Imag ...
 This Article 
 
PDF
HTML
IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Giuseppe Boccignone, University of Salerno, Italy
Angelo Marcelli, University of Salerno, Italy
Paolo Napoletano, University of Salerno, Italy
Mario Ferraro, University of Torino, Italy
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.
Citation:
Giuseppe Boccignone, Angelo Marcelli, Paolo Napoletano, Mario Ferraro, "Motion Estimation via Belief Propagation," iciap, pp.55-60, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.