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Template Tracking using Generalized Modus Tollens

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 28 Jul 2005Publisher:IEEEJournal:The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.
Authors: Strauss, Olivier; Comby, Frédéric;

doi: 10.1109/fuzzy.2005.1452407

Template Tracking using Generalized Modus Tollens

Abstract

This article describes an original method to track 2D templates in a video sequence. This approach is based on robust modelling of the interaction between pattern movement and grey level variations in the image using fuzzy bimodal rules. Movement estimation is performed by inverting these rules and polling the results in a quasi-continuous histogram. Some experimental results are given to illustrate the performance of this algorithm.

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Keywords

FUZZY, Image processing, Tracking, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green