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- W2399693678 abstract "This paper presents an event recognition framework, based on Dempster-Shafer theory, that combines evidence of events from low-level computer vision analytics. The proposed method employing evidential network modelling of composite events, is able to represent uncertainty of event output from low level video analysis and infer high-level events with semantic meaning along with degrees of belief. The method has been evaluated on videos taken of subjects entering and leaving a seated area. This has relevance to a number of transport scenarios, such as onboard buses and trains, and also in train stations and airports. Recognition results of 78% and 100% for four composite events are encouraging." @default.
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- W2399693678 date "2014-08-18" @default.
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- W2399693678 title "Video event recognition by Dempster-Shafer theory" @default.
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- W2399693678 doi "https://doi.org/10.3233/978-1-61499-419-0-1031" @default.
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