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CVPR
2006
IEEE
15 years 11 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICCV
2007
IEEE
15 years 11 months ago
People-LDA: Anchoring Topics to People using Face Recognition
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
Vidit Jain, Erik G. Learned-Miller, Andrew McCallu...
AVBPA
2001
Springer
119views Biometrics» more  AVBPA 2001»
15 years 2 months ago
Extended Model-Based Automatic Gait Recognition of Walking and Running
Gait is an emerging biometric. Current systems are either holistic or feature based and have been demonstrated to be able to recognise people by the way they walk. This paper descr...
Chew-Yean Yam, Mark S. Nixon, John N. Carter
CVPR
2012
IEEE
13 years 2 days ago
Recognizing proxemics in personal photos
Proxemics is the study of how people interact. We present a computational formulation of visual proxemics by attempting to label each pair of people in an image with a subset of p...
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
93
Voted
CVPR
2005
IEEE
15 years 11 months ago
Strike a Pose: Tracking People by Finding Stylized Poses
We develop an algorithm for finding and kinematically tracking multiple people in long sequences. Our basic assumption is that people tend to take on certain canonical poses, even...
Deva Ramanan, David A. Forsyth, Andrew Zisserman