Automatic Recognition of Human Activities in Surveillance Videos: Overcoming the Curse of Dimensionality [ 2009 - 2011 ]

Research Grant

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Researchers Prof M Piccardi

Brief description This project will deliver a technology capable of automatically recognising human activities of interest in surveillance videos. The project will tackle the challenging, huge complexity inherent in the recognition of human activities by novel statistical pattern recognition techniques. The outcome of this project will be an effective activity recognition technology that will help monitor the security and safety of environments and support the further development of the Australian video surveillance industry.

Funding Amount $235,000

Funding Scheme Discovery Projects

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