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ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
ICCV
2009
IEEE
15 years 1 months ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
14 years 10 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
CVPR
2001
IEEE
14 years 10 months ago
3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain
Work in simultaneous localisation and map-building ("SLAM") for mobile robots has focused on the simplified case in which a robot is considered to move in two dimensions...
Andrew J. Davison, Nobuyuki Kita
CVPR
2003
IEEE
14 years 10 months ago
Practical Super-Resolution from Dynamic Video Sequences
This paper introduces a practical approach for superresolution, the process of reconstructing a high-resolution image from the low-resolution input ones. The emphasis of our work ...
Zhongding Jiang, Tien-Tsin Wong, Hujun Bao