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» Selecting relevant features for human motion recognition
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KES
2007
Springer
14 years 1 months ago
Face Recognition Based on 2D and 3D Features
This paper presents a completly automated face recognition system integrating both two dimensional (texture) and three dimensional (shape) features. We introduce a novel fusion str...
Stefano Arca, Raffaella Lanzarotti, Giuseppe Lipor...
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. ...
ICRA
2010
IEEE
193views Robotics» more  ICRA 2010»
13 years 6 months ago
Model-based motion tracking system using distributed network cameras
— For a coexisting and collaborative society that incorporates humans and robots, the detection, tracking, and recognition of human motion are indispensable techniques for a robo...
Yumi Iwashita, Ryo Kurazume, Takamitsu Mori, Masak...
ICMCS
2005
IEEE
147views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
Thurid Vogt, Elisabeth André
MIRAGE
2007
Springer
14 years 1 months ago
Model-Based Feature Extraction for Gait Analysis and Recognition
Human motion analysis has received a great attention from researchers in the last decade due to its potential use in different applications. We propose a new approach to extract h...
Imed Bouchrika, Mark S. Nixon