
pmid: 18579941
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.
Artificial Intelligence, Image Interpretation, Computer-Assisted, Video Recording, Reproducibility of Results, Image Enhancement, Sensitivity and Specificity, Algorithms, Pattern Recognition, Automated
Artificial Intelligence, Image Interpretation, Computer-Assisted, Video Recording, Reproducibility of Results, Image Enhancement, Sensitivity and Specificity, Algorithms, Pattern Recognition, Automated
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