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CORR
2010
Springer
67views Education» more  CORR 2010»
15 years 4 months ago
From granular avalanches to fluid turbulences through oozing pastes. A mesoscopic physically-based particle model
In this paper, we describe how we can precisely produce complex and various dynamic morphological features such as structured and chaotic features which occur in sand pilings (pil...
Annie Luciani
CVPR
2010
IEEE
15 years 4 months ago
Anomaly detection in crowded scenes
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable f...
Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno V...
NIPS
2003
15 years 6 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
ECCV
2004
Springer
15 years 10 months ago
Novelty Detection in Image Sequences with Dynamic Background
Abstract. We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty de...
Fredrik Kahl, Richard I. Hartley, Volker Hilsenste...
CVRMED
1997
Springer
15 years 8 months ago
Physically-based model for simulating the human trunk respiration movements
Abstract. We have developped a physically-based model where an object is represented by a set of mass points on its contour. Each object may be defined locally and physically usin...
Emmanuel Promayon, Pierre Baconnier, Claude Puech