Robust discriminative tracking via landmark-based label propagation

The appearance of an object could be continuously changing during tracking, thereby being not independent identically distributed. A good discriminative tracker often needs a large number of training samples to fit the underlying data distribution, which is impractical for visual tracking. In this p...

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Détails bibliographiques
Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 5 vom: 19. Mai, Seite 1510-23
Auteur principal: Wu, Yuwei (Auteur)
Autres auteurs: Pei, Mingtao, Yang, Min, Yuan, Junsong, Jia, Yunde
Format: Article en ligne
Langue:English
Publié: 2015
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article Research Support, Non-U.S. Gov't