A. Blake and K. Toyama

 

Project description
  At Microsoft Research Cambridge we are developing new machine vision algorithms to automatically track moving objects in image sequences.

Demos on exemplar-based tracking       (click below to access demo videos)
 
bullet Pedestrian, generated sequence, using dynamics only: generatd.mpg.
bullet Pedestrian tracking, train and test on same person (different sequences): walk1.mpg.
bullet Pedestrian tracking, train on one person, test on another: walk3.mpg.
bullet Mouth tracking, train and test on same person (different sequences), metric is L-2 image distance: ml2.mpg.
bullet Mouth tracking, train and test on same person (different sequences), metric is shuffle distance: mshuffle.mpg.
bullet Tracking a ballet dancer (training and test sequence are the same): ballet0.mpg.

 

Scientific publications
  1. K. Toyama and A. Blake. Probabilistic Tracking in Metric Space. In Proc. IEEE ICCV Vancouver, Canada, 2001.
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