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ECCV
2000
Springer
14 years 9 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
14 years 9 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
KES
2005
Springer
14 years 1 months ago
3-D Building Reconstruction Using IKONOS Multispectral Stereo Images
This paper presents an effective strategy to extract the buildings and to reconstruct 3-D buildings using high-resolution multispectral stereo satellite images. Proposed scheme con...
Hong-Gyoo Sohn, Choung-Hwan Park, Joon Heo
ACCV
2006
Springer
14 years 1 months ago
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
Hanzi Wang, David Suter
CVPR
2011
IEEE
13 years 4 months ago
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
Andreas Geiger, Martin Lauer, Raquel Urtasun