Automatic methods for videostreams analysis and self-evolving controllers
Processing information in real-time that is coming from video streams is very challenging due to uncertainties such as clutter (correct identifying objects that are however of no interest to the observer) and noise (errors ad rather probabilistic disturbances). This thesis details an approach for au...
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Lancaster University
2012
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.662191 |