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ICPR
2002
IEEE
14 years 1 months ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
CVPR
2012
IEEE
11 years 11 months ago
Social roles in hierarchical models for human activity recognition
We present a hierarchical model for human activity recognition in entire multi-person scenes. Our model describes human behaviour at multiple levels of detail, ranging from low-le...
Tian Lan, Leonid Sigal, Greg Mori
APGV
2008
ACM
193views Visualization» more  APGV 2008»
13 years 10 months ago
Probing dynamic human facial action recognition from the other side of the mean
Insights from human perception of moving faces have the potential to provide interesting insights for technical animation systems as well as in the neural encoding of facial expre...
Cristóbal Curio, Martin A. Giese, Martin Br...
CVPR
2006
IEEE
14 years 10 months ago
Dynamic Appearance Modeling for Human Tracking
Dynamic appearance is one of the most important cues for tracking and identifying moving people. However, direct modeling spatio-temporal variations of such appearance is often a ...
Hwasup Lim, Octavia I. Camps, Mario Sznaier, Vlad ...
ICCV
2007
IEEE
14 years 10 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla