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ICCV
2007
IEEE
14 years 11 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
NAACL
2007
13 years 11 months ago
Semantic Frames in Romanian Natural Language Processing Systems
Interests to realize semantic frames databases as a stable starting point in developing semantic knowledge based systems exists in countries such as Germany (the Salsa project), E...
Diana Trandabat
KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 10 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
ECCV
2002
Springer
14 years 11 months ago
Recognizing and Tracking Human Action
Human activity can be described as a sequence of 3D body postures. The traditional approach to recognition and 3D reconstruction of human activity has been to track motion in 3D, m...
Josephine Sullivan, Stefan Carlsson
ATAL
2005
Springer
14 years 3 months ago
A multiagent system manages collaboration in emergent processes
Emergent processes are non-routine, collaborative business processes whose execution is guided by the knowledge that emerges during a process instance. In so far as the process go...
John K. Debenham