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CVPR
2005
IEEE
15 years 11 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
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Finding People Frequently Appearing in News
Abstract. We propose a graph based method to improve the performance of person queries in large news video collections. The method benefits from the multi-modal structure of videos...
Derya Ozkan, Pinar Duygulu
MMSP
2008
IEEE
216views Multimedia» more  MMSP 2008»
15 years 4 months ago
Using stochastic gradient-descent scheme in appearance model based face tracking
— Active appearance model (AAM) has been widely used in face tracking and recognition. However, accuracy and efficiency are always two main challenges with the AAM search. The pa...
Zhidong Li, Jing Chen, Adrian Chong, Zhenghua Yu, ...
IVC
2006
180views more  IVC 2006»
14 years 9 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
ICIP
2003
IEEE
15 years 11 months ago
Statistical modeling for facial expression analysis and synthesis
Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extract...
Bouchra Abboud, Franck Davoine, M. Dang