Unsupervised learning of discriminative edge measures for vehicle matching between nonoverlapping cameras

This paper proposes a novel unsupervised algorithm learning discriminative features in the context of matching road vehicles between two non-overlapping cameras. The matching problem is formulated as a same-different classification problem, which aims to compute the probability of vehicle images fro...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 30(2008), 4 vom: 15. Apr., Seite 700-11
Auteur principal: Shan, Ying (Auteur)
Autres auteurs: Sawhney, Harpreet S, Kumar, Rakesh
Format: Article en ligne
Langue:English
Publié: 2008
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article Research Support, U.S. Gov't, Non-P.H.S.