Bayesian-competitive consistent labeling for people surveillance

This paper presents a novel and robust approach to consistent labeling for people surveillance in multi-camera systems. A general framework scalable to any number of cameras with overlapped views is devised. An off-line training process automatically computes ground-plane homography and recovers epi...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 30(2008), 2 vom: 15. Feb., Seite 354-60
Auteur principal: Calderara, Simone (Auteur)
Autres auteurs: Cucchiara, Rita, Prati, Andrea
Format: Article
Langue:English
Publié: 2008
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article