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ICANN
2009
Springer
14 years 7 days ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...
ICCV
2001
IEEE
14 years 9 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
ICCV
2007
IEEE
14 years 2 months ago
Motion Analysis of Endovascular Stent-Grafts by MDL Based Registration
The endovascular repair of a traumatic rupture of the thoracic aorta - that would otherwise lead to the death of the patient - is performed by delivering a stent-graft into the ve...
Georg Langs, Nikos Paragios, Rene Donner, Pascal D...
ICPR
2010
IEEE
13 years 5 months ago
Online Learning with Self-Organizing Maps for Anomaly Detection in Crowd Scenes
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
Jie Feng, Chao Zhang, Pengwei Hao
ICIP
2007
IEEE
14 years 9 months ago
Modeling Time-Varying Illumination Patterns in Video
Recreating the temporal illumination variations of natural scenes has great potential for realistic synthesis of video sequences. In this paper, we present a 3D (model-based) appr...
Yilei Xu, Amit K. Roy Chowdhury