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FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
14 years 5 days ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...
CVPR
2005
IEEE
14 years 9 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman
ACCV
2009
Springer
13 years 9 months ago
Person De-identification in Videos
Advances in cameras and web technology have made it easy to capture and share large amounts of video data over to a large number of people. A large number of cameras oversee public...
Prachi Agrawal, P. J. Narayanan
ICMCS
2005
IEEE
229views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A methodology for improving recognition rate of linear discriminant analysis in video-based face recognition using support vecto
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
Sreekar Krishna, Sethuraman Panchanathan
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