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» Learning to Estimate Scenes from Images
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CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
14 years 11 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
CSCW
2002
ACM
13 years 9 months ago
3-D live: real time interaction for mixed reality
We describe a real-time 3-D augmented reality videoconferencing system. With this technology, an observer sees the real world from his viewpoint, but modified so that the image of...
Simon Prince, Adrian David Cheok, Farzam Farbiz, T...
NIPS
2003
13 years 10 months ago
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
ICPR
2010
IEEE
13 years 9 months ago
Detection of Salient Image Points Using Principal Subspace Manifold Structure
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
António R. C. Paiva, Tolga Tasdizen