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» Learning Local Models For 2d Human Motion Tracking
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ICIP
2010
IEEE
13 years 5 months ago
Face-TLD: Tracking-Learning-Detection applied to faces
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas
PAMI
2012
11 years 10 months ago
Tracking-Learning-Detection
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas
WACV
2002
IEEE
14 years 15 days ago
Face Model Adaptation using Robust Matching and Active Appearance Models
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using deformable 3D models. For each frame, the proposed adaptation is sp...
Fadi Dornaika, Jörgen Ahlberg
AMFG
2003
IEEE
168views Biometrics» more  AMFG 2003»
13 years 11 months ago
Efficient Active Appearance Model for Real-Time Head and Facial Feature Tracking
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using Active Appearance Models. The classical appearancebased tracking su...
Fadi Dornaika, Jörgen Ahlberg
ICCV
2003
IEEE
14 years 9 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu