Detection of unseen patches trackable by linear predictors

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187100" target="_blank" >RIV/68407700:21230/11:00187100 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Detection of unseen patches trackable by linear predictors
Original language description
Linear predictors (LPs) are being used for tracking because of their computational efficiency which is better than steepest descent methods (e.g. Lucas-Kanade). The only disadvantage of LPs is the necessary learning phase which hinders the predictors applicability as a general patch tracker. We address this limitation and propose to learn a bank of LPs off-line and develop an on-line detector which selects image regions that could be tracked by some predictor from the bank. The proposed detector differssignificantly from the usual solutions that attempt to find the closest match between a candidate patch and a database of exemplars. We construct the detector directly from the learned linear predictor. The detector positively detects the learned patches, but also many other image patches, which were not used in LP learning phase. This means, that the LP is able to track also previously unseen image patches, the appearances of which are often significantly diverse from the patches used.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CVWW '11: Proceedings of the 16th Computer Vision Winter Workshop
ISBN
978-3-85125-129-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
107-114
Publisher name
Graz University of Technology
Place of publication
Graz
Event location
Mitterberg
Event date
Feb 2, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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