title: The template update problem.
abstract: Template tracking dates back to the 1981 Lucas-Kanade algorithm. One question that has received very little attention, however, is how to update the template so that it remains a good model of the tracked object. We propose a template update algorithm that avoids the "drifting" inherent in the naive algorithm.
authors.affiliation: The Robotics Institute, Carnegie Mellon University, 500 Forbes Avenue, Pittsburgh, PA 15232, USA. iainm@cs.cmu.edu
authors.forename: Iain
authors.initials: I
authors.lastname: Matthews
authors.forename: Takahiro
authors.initials: T
authors.lastname: Ishikawa
authors.forename: Simon
authors.initials: S
authors.lastname: Baker
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014741:Video Recording / Q000379:methods*