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- W1989258188 abstract "We present a novel technique for classifying static foreground in automated airport surveillance systems between abandoned and removed objects by representing the image as a Markov Random Field. The proposed algorithm computes and compares the net probability of the region of interest before and after the event occurs, hence finding which fits more naturally with their respective backgrounds. Having tested on a dataset from the PETS 2006, PETS 2007, AVSS20074, CVSG, VISOR, CANDELA and WCAM datasets, the algorithm has shown capable of matching the results of the state-of-the-art, is highly parallel and has a degree of robustness to noise and illumination changes." @default.
- W1989258188 created "2016-06-24" @default.
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- W1989258188 date "2014-09-23" @default.
- W1989258188 modified "2023-10-03" @default.
- W1989258188 title "Markov random fields for static foreground classification in surveillance systems" @default.
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- W1989258188 doi "https://doi.org/10.1117/12.2062508" @default.
- W1989258188 hasPublicationYear "2014" @default.
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