Title:
A System for Tracking and Recognizing Multiple People with Multiple Camera

dc.contributor.author Stillman, Scott T.
dc.contributor.author Tanawongsuwan, Rawesak
dc.contributor.author Essa, Irfan
dc.date.accessioned 2004-10-21T14:35:56Z
dc.date.available 2004-10-21T14:35:56Z
dc.date.issued 1998
dc.description.abstract In this paper we present a robust real-time method for tracking and recognizing multiple people with multiple cameras. Our method uses both static and Pan-Tilt-Zoom (PTZ) cameras to provide visual attention. The PTZ camera system uses face recognition to register people in the scene and ``lock-on'' to those individuals. The static camera system provides a global view of the environment and is used to re-adjust the tracking of the system when the PTZ cameras lose their targets. The system works well even when people occlude one another. The underlying visual processes rely on color segmentation, movement tracking and shape information to locate target candidates. Color indexing and face recognition modules help register these candidates with the system. en
dc.format.extent 133524 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/3470
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-98-25
dc.subject Computer vision en
dc.subject People recognition and tracking en
dc.subject Vision-based interfaces en
dc.subject Interactive environments en
dc.subject Smart spaces en
dc.title A System for Tracking and Recognizing Multiple People with Multiple Camera en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Essa, Irfan
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isAuthorOfPublication 84ae0044-6f5b-4733-8388-4f6427a0f817
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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