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» Background modeling and subtraction by codebook construction
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TCSV
2008
148views more  TCSV 2008»
13 years 5 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao
ICPR
2008
IEEE
13 years 12 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 5 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
BMCBI
2008
177views more  BMCBI 2008»
13 years 5 months ago
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
Yuanxin Xi, David M. Rocke