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NIPS
2004
13 years 11 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
BMVC
1998
13 years 11 months ago
A Bi-Directional Integrated Model for Non-Rigid Motion Analysis
To be able to understand the motion of deformable objects, techniques in image processing and computer vision are essential for non-rigid motion analysis in this active research a...
Chunyen Liu
BMVC
2000
13 years 11 months ago
The Cross Ratio: A Revisit to its Probability Density Function
The cross ratio has wide applications in computer vision because of its invariance under projective transformation. In active vision where the projections of quadruples of colline...
D. Q. Huynh
MM
2010
ACM
252views Multimedia» more  MM 2010»
13 years 10 months ago
Real-time detection of unusual regions in image streams
Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
Rene Schuster, Roland Mörzinger, Werner Haas,...
CVPR
2010
IEEE
13 years 10 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah