We introduce a physics-based model for 3D person tracking. Based on a biomechanical characterization of lower-body dynamics, the model captures important physical properties of bi...
Marcus A. Brubaker, David J. Fleet, Aaron Hertzman...
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
This paper describes stochastic modeling of pencoordinate information in HMMs with structured character pattern representation (SCPR) for on-line Japanese handwriting recognition....
Akihito Kitadai, Gleidson Pegoretti da Silva, Junk...
Statistical appearance models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with local appe...