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» Recognition Model with Extension Fields
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ICIP
2004
IEEE
14 years 9 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung
LREC
2010
163views Education» more  LREC 2010»
13 years 8 months ago
Lexical Resources and Ontological Classifications for the Recognition of Proper Names Sense Extension
Particular uses of PNs with sense extension are focussed on and inspected taking into account the presence of PNs in lexical semantic databases and electronic corpora. Methodology...
Rita Marinelli
AIPR
2005
IEEE
14 years 1 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 9 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
CVIU
2006
222views more  CVIU 2006»
13 years 7 months 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. ...