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» Probabilistic Recognition of Activity using Local Appearance
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ICMCS
2008
IEEE
131views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A novel contextual descriptors for category recognition
In this paper, we propose a novel contextual descriptor which combines the contextual information and local appearance. Based on Gibbs distribution, a local descriptor is designed...
Yi Ouyang, Ming Tang, Jian Cheng, Jinqiao Wang, Ha...
ICDAR
2009
IEEE
14 years 2 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
14 years 2 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
GI
2009
Springer
14 years 9 days ago
Activity Recognition using Optical Sensors on Mobile Phones
: Each mobile phone with a built-in CMOS sensor can inherently be seen as sophisticated optical sensor being able to analyze its environment in terms of visual events and its own m...
Michael Wittke, Uwe Jänen, Aret Duraslan, Emr...
CVPR
2005
IEEE
14 years 9 months ago
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds
Statistical shape-and-texture appearance models employ image metamorphosis to form a rich, compact representation of object appearance. They achieve their efficiency by decomposin...
Chris Mario Christoudias, Trevor Darrell