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Video Mining - Learning Patterns of Behaviour via an Intelligent Image Analysis System

David Bell, Antonio Carlos Schneider Beck, Peter I. Miller, Qiongyuan Wu, A. Herrera

Year
2007
Citations
4

Abstract

In this paper we describe a system for capturing time-varying sequences of behavioural patterns of agents or robots from a video clips. The detailed time slices of action are 'coarsened' to provide gross, molecular units of behaviour. Combinations of these are then represented in the form of a table, which is mined using rough sets methods here, although various other mining techniques can also be used. Some preliminary experiments are reported to prove the concept.

Keywords

CLIPSComputer scienceTable (database)Artificial intelligenceRobotAction (physics)Data miningComputer visionMachine learningPattern recognition (psychology)

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