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» Statistical Models of Appearance for Computer Vision
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143
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CVPR
2011
IEEE
14 years 11 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
ICCV
2011
IEEE
14 years 3 months ago
Image Based Detection of Geometric Changes in Urban Environments
In this paper, we propose an efficient technique to detect changes in the geometry of an urban environment using some images observing its current state. The proposed method can ...
Aparna Taneja, Luca Ballan, Marc Pollefeys
124
Voted
CVPR
2008
IEEE
16 years 5 months ago
Geo-located image analysis using latent representations
Image categorization is undoubtedly one of the most challenging open problems faced in Computer Vision, far from being solved by employing pure visual cues. Recently, additional t...
Marco Cristani, Alessandro Perina, Umberto Castell...
ICPR
2002
IEEE
15 years 8 months ago
Motion Tracking of Cattle with a Constrained Deformable Model
In this paper, we propose a method for monitoring the motion of cows by tracking the white patterns on them with constrained deformable models. As input for observation, we use im...
Daisuke Tsutsumi, Yasuyo Kita
IVC
2007
301views more  IVC 2007»
15 years 3 months ago
Kinematic sets for real-time robust articulated object tracking
In this article a new approach is given for real-time visual tracking of a class of articulated non-rigid objects in 3D. The main contribution of this paper consists in symmetrica...
Andrew I. Comport, Éric Marchand, Fran&cced...