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CVPR
2010
IEEE
15 years 11 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 9 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
128
Voted
MICCAI
2003
Springer
16 years 4 months ago
Pathology Growth Model Based on Particles
Virtual reality based surgical simulators offer the possibility to provide training on a wide range of findings of different pathologies. Current research aims at a high fidelity h...
Raimundo Sierra, Michael Bajka, Gábor Sz&ea...
TVCG
2008
151views more  TVCG 2008»
15 years 3 months ago
Visualization of Particle Interactions in Granular Media
Interaction between particles in so-called granular media, such as soil and sand, plays an important role in the context of geomechanical phenomena and numerous industrial applicat...
Holger A. Meier, Michael Schlemmer, Christian Wagn...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 9 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...