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» Video anomaly detection in spatiotemporal context
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CVPR
2010
IEEE
15 years 6 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
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
16 years 4 months 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
IVS
2008
121views more  IVS 2008»
14 years 9 months ago
Using treemaps for variable selection in spatio-temporal visualisation
We demonstrate and reflect upon the use of enhanced treemaps that incorporate spatial and temporal ordering for exploring a large multivariate spatio-temporal data set. The result...
Aidan Slingsby, Jason Dykes, Jo Wood
CVPR
2010
IEEE
15 years 5 months ago
Efficient Action Spotting based on a Spacetime Oriented Structure Representation
This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of...
Konstantinos Derpanis, Mikhail Sizintsev, Kevin Ca...
MM
2006
ACM
155views Multimedia» more  MM 2006»
15 years 3 months ago
Robust voting algorithm based on labels of behavior for video copy detection
This paper presents an efficient approach for copies detection in a large videos archive consisting of several hundred of hours. The video content indexing method consists of ext...
Julien Law-To, Olivier Buisson, Valérie Gou...