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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
VC
2008
85views more  VC 2008»
13 years 7 months ago
Real-time crowd motion planning
Real-time crowd motion planning requires fast, realistic methods for path planning as well as obstacle avoidance. In a previous work (Morini et al. in Cyberworlds International Con...
Barbara Yersin, Jonathan Maïm, Fiorenzo Morin...
CDC
2008
IEEE
14 years 2 months ago
A monotonic algorithm for the optimal control of the Fokker-Planck equation
— Motivated by some crowd motion models in the presence of noise, we consider an optimal control problem governed by the Fokker-Planck equation. We sketch optimality conditions b...
Guillaume Carlier, Julien Salomon
ICASSP
2011
IEEE
12 years 11 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
JCP
2006
232views more  JCP 2006»
13 years 7 months ago
Indexing of Motion Capture Data for Efficient and Fast Similarity Search
As motion capture systems are increasingly used for motion tracking and capture, and more and more surveillance cameras are installed for security protection, more and more motion ...
Chuanjun Li, B. Prabhakaran