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» Human Pose Tracking Using Multi-level Structured Models
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AMFG
2005
IEEE
217views Biometrics» more  AMFG 2005»
14 years 1 months ago
An Investigation of Model Bias in 3D Face Tracking
3D tracking of faces in video streams is a difficult problem that can be assisted with the use of a priori knowledge of the structure and appearance of the subject’s face at pred...
Douglas Fidaleo, Gérard G. Medioni, Pascal ...
ACCV
2009
Springer
13 years 11 months ago
People Tracking and Segmentation Using Efficient Shape Sequences Matching
Abstract. We design an effective shape prior embedded human silhouettes extraction algorithm. Human silhouette extraction is found challenging because of articulated structures, po...
Junqiu Wang, Yasushi Yagi, Yasushi Makihara
CVPR
2007
IEEE
14 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
FGR
2008
IEEE
192views Biometrics» more  FGR 2008»
13 years 8 months ago
Tracking a walking person using activity-guided annealed particle filtering
Tracking human pose using observations from less than three cameras is a challenging task due to ambiguity in the available image evidence. This work presents a method for trackin...
John Darby, Baihua Li, Nicholas Costen
SPEECH
1998
215views more  SPEECH 1998»
13 years 7 months ago
3D lip shapes from video: A combined physical-statistical model
Tracking human lips in video is an important but notoriously dicult task. To accurately recover their motions in 3D from any head pose is an even more challenging task, though s...
Sumit Basu, Nuria Oliver, Alex Pentland