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» Object shape and reflectance modeling from observation
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121
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ICML
2006
IEEE
16 years 1 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
117
Voted
ICCV
2011
IEEE
14 years 21 days ago
The Truth about Cats and Dogs
Template-based object detectors such as the deformable parts model of Felzenszwalb et al. [11] achieve state-ofthe-art performance for a variety of object categories, but are stil...
Omkar M Parkhi, Andrea Vedaldi, C. V. Jawahar, And...
PAMI
2011
14 years 3 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
102
Voted
BMVC
2010
14 years 10 months ago
Additive Update Predictors in Active Appearance Models
The Active Appearance Model (AAM) provides an efficient method for localizing objects that vary in both shape and texture, and uses a linear regressor to predict updates to model ...
Philip A. Tresadern, Patrick Sauer, Timothy F. Coo...
120
Voted
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 5 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...