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» Robust background estimation for complex video sequences
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ICPR
2008
IEEE
14 years 2 months ago
Understanding vehicle motion via spatial integration of intensities
On a moving vehicle, speedy motion extraction from video is demanded. Different from the traditional motion estimation methods that track or match 2D features in consecutive motio...
Jiang Yu Zheng, Yasaswy Bhupalam, Hiromi T. Tanaka
BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
Background: High-throughput sequencing technologies, such as the Illumina Genome Analyzer, are powerful new tools for investigating a wide range of biological and medical question...
James H. Bullard, Elizabeth Purdom, Kasper D. Hans...
BMCBI
2010
100views more  BMCBI 2010»
13 years 7 months ago
Using genomic signatures for HIV-1 sub-typing
Background: Human Immunodeficiency Virus type 1 (HIV-1), the causative agent of Acquired Immune Deficiency Syndrome (AIDS), exhibits very high genetic diversity with different var...
Aridaman Pandit, Somdatta Sinha
AMDO
2004
Springer
14 years 1 months ago
Image Cues Fusion for Object Tracking Based on Particle Filter
Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...
Peihua Li, François Chaumette
FGR
2000
IEEE
161views Biometrics» more  FGR 2000»
14 years 5 days ago
Learning and Synthesizing Human Body Motion and Posture
A novel approach is presented for estimating human body posture and motion from a video sequence. Human pose is defined as the instantaneous image plane configuration of a singl...
Rómer Rosales, Stan Sclaroff