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» Probabilistic Recognition of Activity using Local Appearance
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DAGM
2005
Springer
14 years 1 months ago
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
In this paper, we employ a zero-order local deformation model to model the visual variability of video streams of American sign language (ASL) words. We discuss two possible ways o...
Morteza Zahedi, Daniel Keysers, Thomas Deselaers, ...
ICCV
2003
IEEE
14 years 9 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
TIP
2008
165views more  TIP 2008»
13 years 7 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
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
ICMCS
2009
IEEE
231views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Dynamic face appearance modeling and sight direction estimation based on local region tracking and scale-space topo-represention
Dynamic modeling of facial appearances and sight directions are demanded for HCI and multimedia applications. Traditional approaches for face tracking and eye tracking from 2D vid...
Shaun J. Canavan, Lijun Yin