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ESANN
2001
15 years 1 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
FGR
2002
IEEE
197views Biometrics» more  FGR 2002»
15 years 4 months ago
Robust Full-Motion Recovery of Head by Dynamic Templates and Re-Registration Techniques
This paper presents a method to recover the full-motion (3 rotations and 3 translations) of the head from an input video using a cylindrical head model. Given an initial reference...
Jing Xiao, Takeo Kanade, Jeffrey F. Cohn
IUI
2006
ACM
15 years 5 months ago
Head gesture recognition in intelligent interfaces: the role of context in improving recognition
Acknowledging an interruption with a nod of the head is a natural and intuitive communication gesture which can be performed without significantly disturbing a primary interface ...
Louis-Philippe Morency, Trevor Darrell
ICCV
2009
IEEE
16 years 4 months ago
Recognizing Actions by Shape-Motion Prototype Trees
A prototype-based approach is introduced for action recognition. The approach represents an action as a se- quence of prototypes for efficient and flexible action match- ing in ...
Zhe Lin, Zhuolin Jiang, Larry S. Davis
CVPR
2009
IEEE
16 years 7 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III