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» Conditional Random Fields for Multi-Camera Object Detection
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ICIP
2006
IEEE
14 years 9 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
PAMI
2011
13 years 2 months ago
Applying Property Testing to an Image Partitioning Problem
—Property testing is a rapidly growing field of research. Typically, a property testing algorithm proceeds by quickly determining whether an input can satisfy some condition, und...
Igor Kleiner, Daniel Keren, Ilan Newman, Oren Ben-...
CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
ICIP
2005
IEEE
14 years 9 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
WWW
2004
ACM
14 years 8 months ago
Composite events for xml
Recently, active behavior has received attention in the XML field to automatically react to occurred events. Aside from proprietary approaches for enriching XML with active behavi...
Martin Bernauer, Gerti Kappel, Gerhard Kramler