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ICRA
1999
IEEE
122views Robotics» more  ICRA 1999»
12 years 4 months ago
Learning Visual Landmarks for Pose Estimation
Abstract-- We present an approach to vision-based mobile robot localization, even without an a-priori pose estimate. This is accomplished by learning a set of visual features calle...
Robert Sim, Gregory Dudek
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
12 years 6 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
ICCV
2005
IEEE
13 years 1 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
CVPR
2008
IEEE
13 years 2 months ago
Progressive search space reduction for human pose estimation
The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely ch...
Andrew Zisserman, Manuel J. Marín-Jim&eacut...
CVPR
2008
IEEE
13 years 2 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
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