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» Probabilistic Object Tracking Using Multiple Features
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ICCV
2005
IEEE
15 years 11 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
CVPR
2008
IEEE
15 years 11 months ago
Unifying discriminative visual codebook generation with classifier training for object category recognition
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
Liu Yang, Rong Jin, Rahul Sukthankar, Fréd&...
CORR
2010
Springer
155views Education» more  CORR 2010»
14 years 9 months ago
Repairing People Trajectories Based on Point Clustering
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
Duc Phu Chau, François Brémond, Etie...
ESI
2010
93views more  ESI 2010»
14 years 8 months ago
VxOware: software for managing virtual observatory metadata
The recent Heliophysics Virtual Observatory (VxO) effort involves the development of separate observatories with a low overlap in physical domain or area of scientific specializat...
Robert S. Weigel, Mikhail N. Zhizhin, Dmitry Mishi...
TROB
2008
151views more  TROB 2008»
14 years 9 months ago
Inverse Depth Parametrization for Monocular SLAM
Recent work has shown that the probabilistic SLAM approach of explicit uncertainty propagation can succeed in permitting repeatable 3D real-time localization and mapping even in th...
Javier Civera, Andrew J. Davison, J. M. M. Montiel