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126
Voted
CVPR
2003
IEEE
16 years 5 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
123
Voted
CVPR
2003
IEEE
16 years 5 months ago
Scene Detection In Hollywood Movies and TV Shows
A scene can be defined as one of the subdivisions of a play in which the setting is fixed, or when it presents continuous action in one place. We propose a novel two-pass algorith...
Zeeshan Rasheed, Mubarak Shah
137
Voted
CVPR
2006
IEEE
16 years 5 months ago
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Jingyu Yan, Marc Pollefeys
131
Voted
CVPR
2007
IEEE
16 years 5 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
149
Voted
CVPR
2008
IEEE
16 years 5 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...
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