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» Detecting Occlusion for Hidden Markov Modeled Shapes
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ICPR
2008
IEEE
14 years 3 months ago
A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory
In this paper, we propose an automatic system that recognizes both isolated and continuous gestures for Arabic numbers (0-9) in real-time based on Hidden Markov Model (HMM). To ha...
Mahmoud Elmezain, Ayoub Al-Hamadi, Jörg Appen...
ICCV
2009
IEEE
13 years 6 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
SCIA
2007
Springer
178views Image Analysis» more  SCIA 2007»
14 years 2 months ago
Occluded Facial Expression Tracking
The work presented here takes place in the field of computer aided analysis of facial expressions displayed in sign language videos. We use Active Appearance Models to model a fac...
Hugo Mercier, Julien Peyras, Patrice Dalle
ICDAR
2003
IEEE
14 years 1 months ago
On-line Signature Verification Using Local Shape Analysis
This paper presents a novel approach to the on-line signature verification using local shape Analysis. First, segment the input signature into several segments using HMM (Hidden M...
Mingfu Zou, Jianjun Tong, Changping Liu, Zhenglian...
ICPR
2008
IEEE
14 years 3 months ago
Pedestrian detection by modeling local convex shape features
This paper presents a pedestrian model built collectively on a group of strong local convex shape descriptors. The pedestrian model captures the most important features of a pedes...
Jungme Park, Yun Luo, Haoxing Wang, Yi Lu Murphey