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» Probabilistic Object Tracking Using Multiple Features
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ECCV
2004
Springer
15 years 11 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
15 years 11 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
15 years 3 months 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
14 years 5 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 2 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