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Tech23 2010 - Matthew Macfarlane - iCetana

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Uploaded on Aug 24, 2010

Video motion detection just got better!
iCetana is commercialising a unique mathematical algorithm developed by Curtin University researchers for the efficient identification of anomaly events in very large data-sets. Our video analytics application allows real-time reporting of unusual movement behaviour from surveillance cameras.

The software learns "normal behaviour" from a sample time period and then automatically identifies any "weird or exceptional" event in real-time. The software works with multiple video streams (40+ cameras per PC) and processes highly complex movement scenarios (train station platforms/crowded events).

Other video analytics systems rely on pre-defined coding of the expected anomalies, which will never cover all event possibilities.

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