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Detecting Uncommon Trajectories
2008 Digital Image Computing: Techniques and Applications
An effective video surveillance system relies on detection of suspicious activities. In recent times, there has been an increasing focus on detecting anomalies in human behaviour using surveillance cameras as they provide a clue to preventing breaches in security. Human behaviour can be termed as suspicious when it is uncommon in occurrence and deviates from commonly understood behaviour within a particular context. This work aims to detect regions of interest in video sequences based on andoi:10.1109/dicta.2008.45 dblp:conf/dicta/WiliemMBY08 fatcat:ek2t66ufxfb2bca6xlujrijmu4