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