Automatically building appearance models from image sequences using salient features

摘要

We address the problem of automatically placing landmarks across an image sequence to define correspondences between frames. The marked up sequence is then used to build a statistical model of the appearance of the object within the sequence. We locate the most salient object features from within the first frame and attempt to track them throughout the sequences. Salient features are those which have a low probability of being misclassified as any other feature, and are therefore more likely to be robustly tracked throughout the sequence. the method automatically builds statistical models of the objects shape and the salient features appearance as the sequence is tracked.