Segmentation and tracking of multiple humans in crowded environments

Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model based approach to interpret the image observations by multiple, partially occluded human hypotheses in a Bayesian framework. We define a joint image likelihood for multip...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 30(2008), 7 vom: 12. Juli, Seite 1198-211
1. Verfasser: Zhao, Tao (VerfasserIn)
Weitere Verfasser: Nevatia, Ram, Wu, Bo
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2008
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S.