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» Probabilistic Object Tracking Using Multiple Features
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ECCV
2004
Springer
16 years 8 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
ICIP
2006
IEEE
16 years 8 months ago
Generation of Long-Term Color and Motion Coherent Partitions
This paper describes a technique for generating partition sequences of regions presenting long-term homogeneity in color and motion coherency in terms of affine models. The techni...
Camilo C. Dorea, Ferran Marqués, Montse Par...
ICAT
2006
IEEE
16 years 10 days ago
Projected Reality - Content Delivery Right onto Objects of Daily Life
—Spatial augmented reality using controllable projector-camera-systems to project onto objects directly, or Projected Reality as we call it, offers the possibility to augment obj...
Jochen Ehnes, Michitaka Hirose
CVPR
2011
IEEE
15 years 1 months ago
Learning Temporally Consistent Rigidities
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
Jean-Sebastien Franco, Edmond Boyer
ICCV
2009
IEEE
1234views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Human Pose Estimation Using Consistent Max-Covering
We propose a novel consistent max-covering scheme for human pose estimation. Consistent max-covering formulates pose estimation as the covering of body part polygons on an objec...
Hao Jiang