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» Abnormal Crowd Behavior Detection using Social Force Model
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CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
15 years 12 days ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran
ICPR
2010
IEEE
13 years 3 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
CVPR
2010
IEEE
13 years 5 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...
ATAL
2008
Springer
13 years 7 months ago
Being a part of the crowd: towards validating VR crowds using presence
Crowd simulation models are currently lacking a commonly accepted validation method. In this paper, we propose level of presence achieved by a human in a virtual environment (VE) ...
Nuria Pelechano, Catherine Stocker, Jan M. Allbeck...
WSC
2008
13 years 7 months ago
Introducing age-based parameters into simulations of crowd dymanics
Very few crowds consist of individuals who are exactly the same. Defining variables, such as age, and how they affect an individual's movement, could increase realism in simu...
D. J. Kaup, Thomas L. Clarke, Rex Oleson, Linda C....