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» Recursive estimation of generative models of video
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ISCIS
2003
Springer
14 years 20 days ago
Model-Based Human Motion Capture from Monocular Video Sequences
Generating motion and capturing motion of an articulated body for computer animation is an expensive and time-consuming task. Conventionally, animators manually generate intermedia...
Jihun Park, Sangho Park, Jake K. Aggarwal
ICIP
1998
IEEE
14 years 9 months ago
3D Motion Estimation using Expansion Matching and KL based Canonical Images
This paper describes a novel approach to 3D motion estimation of planar objects based on eigennormalization, Expansion Matching (EXM) and a scaled orthographic projection model. O...
Zhiqian Wang, Jezekiel Ben-Arie
IVC
2006
180views more  IVC 2006»
13 years 7 months ago
Active appearance models with occlusion
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible...
Ralph Gross, Iain Matthews, Simon Baker
TIP
2010
123views more  TIP 2010»
13 years 5 months ago
Optimizing Motion Compensated Prediction for Error Resilient Video Coding
—This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. Fi...
Hua Yang, Kenneth Rose
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