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CVIU
2006
222views more  CVIU 2006»
15 years 20 days ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
83
Voted
AIA
2007
15 years 2 months ago
Incremental classifier based on a local credibility criterion
In this paper we propose the Local Credibility Concept (LCC), a novel technique for incremental classifiers. It measures the classification rate of the classifier’s local mod...
Herward Prehn, Gerald Sommer
90
Voted
ICIP
2009
IEEE
14 years 10 months ago
New image processing challenges for jointly designed electro-optical imaging systems
Still-image processing algorithms are tailored to and depend crucially upon the properties of the class of images to which they are applied, for instance natural images in consumer...
M. Dirk Robinson, David G. Stork
108
Voted
MICCAI
2010
Springer
14 years 11 months ago
Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Dwarikanath Mahapatra, Ying Sun
80
Voted
ICIP
2006
IEEE
16 years 2 months ago
New Results on Efficient Optimal Multilevel Image Thresholding
Image thresholding is one of the most common image processing operations, since almost all image processing schemes need some sort of separation of the pixels into different class...
Martin Luessi, Marco Eichmann, Guido M. Schuster, ...