The template update problem

Carnegie Mellon University

PubMed
Indexed incrossrefpubmed

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.

Citation impact

762
total citations
FWCI
25.67
Percentile
100%
References
13
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Artificial intelligence
  • Computer vision
  • Object (grammar)
  • Pattern recognition (psychology)
  • Algorithm
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Funding