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» K-means Tracker: A General Algorithm for Tracking People
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CVPR
2003
IEEE
14 years 7 months ago
Finding and Tracking People from the Bottom Up
We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...
Deva Ramanan, David A. Forsyth
ICCV
2007
IEEE
14 years 7 months ago
Robust Visual Tracking Using the Time-Reversibility Constraint
Visual tracking is a very important front-end to many vision applications. We present a new framework for robust visual tracking in this paper. Instead of just looking forward in ...
Hao Wu, Rama Chellappa, Aswin C. Sankaranarayanan,...
NIPS
2007
13 years 7 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
CVPR
2005
IEEE
14 years 7 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
IJRR
2010
199views more  IJRR 2010»
13 years 17 days ago
Visual Tracking via Particle Filtering on the Affine Group
We propose a particle filtering-based visual tracker, in which the affine group is treated as the state. We first develop a general particle filtering algorithm that explicitly tak...
Junghyun Kwon, Frank C. Park