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» Anomaly Detection Using an Ensemble of Feature Models
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MLDM
2005
Springer
15 years 8 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
CGF
2010
198views more  CGF 2010»
15 years 2 months ago
Feature Preserving Mesh Generation from 3D Point Clouds
We address the problem of generating quality surface triangle meshes from 3D point clouds sampled on piecewise smooth surfaces. Using a feature detection process based on the cova...
Nader Salman, Mariette Yvinec, Quentin Méri...
ICASSP
2011
IEEE
14 years 6 months ago
Abnormal motion detection in crowded scenes using local spatio-temporal analysis
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
Fahad Daniyal, Andrea Cavallaro
ICCV
2011
IEEE
14 years 2 months ago
Scale Space for Central Catadioptric Systems. Towards a generic camera feature extractor.
In this paper we propose a new approach to compute the scale space of any omnidirectional image acquired with a central catadioptric system. When these cameras are central they ar...
Luis Puig, Jose Guerrero
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
15 years 19 days ago
Position estimation and fall detection using visual receding horizon estimation
The purpose of this paper is to estimate the position of a human in the image frame and to use this information to diagnose falls. A nonholonomic locomotion model describes the dis...
Damien Brulin, Estelle Courtial, Guillaume Alliber...