The template update problem
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
3Topics & keywords
Topics
Keywords
- Computer science
- Artificial intelligence
- Computer vision
- Object (grammar)
- Pattern recognition (psychology)
- Algorithm
No related works found for this paper.