A spatio-temporal learning approach for crowd activity modelling to detect anomalies

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A spatio-temporal learning approach for crowd activity modelling to detect anomalies

With security and surveillance gaining paramount importance in recent years, it has become important to reliably automate some surveillance tasks for monitoring crowded areas. The need to automate this process also supports human operators who are overwhelmed with a large number of security screens...

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Bibliographic Details
Main Author:	Rao, Arjun
Format:	Thesis
Language:	English
Published:	Curtin University 2009
Subjects:	crowd events crowd estimation abnormality detection monitoring surveillance security automate
Online Access:	http://hdl.handle.net/20.500.11937/636

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