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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 9 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
CVPR
2008
IEEE
14 years 11 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
ICCV
2003
IEEE
14 years 11 months ago
Epitomic analysis of appearance and shape
See www.research.microsoft.com/jojic/epitome.htm for videos, comparisons and applications. We present novel simple appearance and shape models that we call epitomes. The epitome o...
Nebojsa Jojic, Brendan J. Frey, Anitha Kannan
ICCV
2001
IEEE
14 years 11 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...
ICCV
2001
IEEE
14 years 11 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black