Robust tracking and event detection using receding horizon incremental locally linear embeddings
Wendy Eileen Birdsong · 2009
This thesis addresses the problem of tracking under severe appearance changes using a combination of receding horizon and Incremental Locally Linear Embeddings (ILLE) techniques that provides adaptation to both time varying dynamics and abrupt appearance changes. In addition to enabling sustained tracking under these conditions, the proposed technique allows for efficiently detecting appearance changes by simply computing the distance between successive embeddings. These results are illustrated with several examples showing the ability of the proposed technique to flag appearance changes while not breaking track.