Sciweavers

1276 search results - page 167 / 256
» Statistical Models of Appearance for Computer Vision
Sort
View
141
Voted
ECCV
2004
Springer
16 years 5 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
108
Voted
WACV
2005
IEEE
15 years 9 months ago
Incorporating Object Tracking Feedback into Background Maintenance Framework
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
CVPR
2006
IEEE
16 years 5 months ago
Robust Visual Tracking Using Case-Based Reasoning with Confidence
The paper describes a simple but robust framework for visual object tracking in a video sequence. Compared with the existing tracking techniques, our proposed tracking technique h...
Zhiwei Zhu, Wenhui Liao, Qiang Ji
CVPR
2007
IEEE
16 years 5 months ago
Change Detection in a 3-d World
This paper examines the problem of detecting changes in a 3-d scene from a sequence of images, taken by cameras with arbitrary but known pose. No prior knowledge of the state of n...
Thomas Pollard, Joseph L. Mundy
CVPR
2010
IEEE
15 years 11 months ago
Multi-Class Object Localization by Combining Local Contextual Interactions
Recent work in object localization has shown that the use of contextual cues can greatly improve accuracy over models that use appearance features alone. Although many of these mo...
Carolina Galleguillos, Brian McFee, Gert Lanckriet