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» Modelling Crowd Scenes for Event Detection
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ACIVS
2009
Springer
14 years 2 months ago
Multiple Human Tracking in High-Density Crowds
Abstract. In this paper, we present a fully automatic approach to multiple human detection and tracking in high density crowds in the presence of extreme occlusion. Human detection...
Irshad Ali, Matthew N. Dailey
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
ICPR
2008
IEEE
14 years 2 months ago
Anomalous trajectory patterns detection
In the field of event analysis, the detection of anomalous events has often been based on the creation of a model representing the most common patterns of activity detected withi...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
AVSS
2008
IEEE
14 years 2 months ago
Object and Scene-Centric Activity Detection Using State Occupancy Duration Modeling
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
Murtaza Taj, Andrea Cavallaro
ICPR
2010
IEEE
13 years 5 months ago
Real-Time Abnormal Event Detection in Complicated Scenes
In this paper, we proposed a novel real-time abnormal event detection framework that requires a short training period and has a fast processing speed. Our approach is based on phas...
Yinghuan Shi, Yang Gao, Ruili Wang