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» Super-Resolution on Moving Objects and Background
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CVPR
1997
IEEE
15 years 11 months ago
Tracking non-rigid, moving objects based on color cluster flow
In this contribution we present an algorithm for tracking non-rigid, moving objects in a sequence of colored images, which were recorded by a non-stationary camera. The applicatio...
Bernd Heisele, Ulrich Kressel, W. Ritter
114
Voted
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
ECCV
2008
Springer
15 years 11 months ago
Background Subtraction on Distributions
Environmental monitoring applications present a challenge to current background subtraction algorithms that analyze the temporal variability of pixel intensities, due to the comple...
Teresa Ko, Stefano Soatto, Deborah Estrin
DICTA
2003
14 years 11 months ago
Unsupervised Segmentation of Moving MPEG Blocks Based on Classification of Temporal Information
Most codecs such as MPEG-1,2 are based on processing pixels in predetermined tiles of square blocks. The processing of each block is independent of the object-based contents that m...
Ofer Miller, Amir Averbuch, Yosi Keller
91
Voted
CVPR
2008
IEEE
15 years 4 months ago
A Loopy Belief Propagation approach for robust background estimation
Background estimation, i.e. automatic recovery of the background image from a sequence of images containing moving foreground objects, is an important module in many applications,...
Xun Xu, Thomas S. Huang