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Student-t background modeling for persons' fall detection through visual cues

Makantasis Konstantinos, Doulamis Anastasios, Matsatsinis Nikolaos

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/369D84EA-6CC9-4924-ADD7-EEA31B804B93-
Αναγνωριστικόhttps://doi.org/10.1109/WIAMIS.2012.6226767-
Γλώσσαen-
ΤίτλοςStudent-t background modeling for persons' fall detection through visual cuesen
ΔημιουργόςMakantasis Konstantinosen
ΔημιουργόςΜακαντασης Κωνσταντινοςel
ΔημιουργόςDoulamis Anastasiosen
ΔημιουργόςΔουλαμης Αναστασιοςel
ΔημιουργόςMatsatsinis Nikolaosen
ΔημιουργόςΜατσατσινης Νικολαοςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηThis article presents a robust, real-time background subtraction algorithm able to operate properly in complex dynamically changing visual conditions and indoor/outdoor environments, based on a single, cheap monocular camera, like a webcam. This algorithm uses an image grid and models each pixel of the grid as a mixture of adaptive Student-t distributions. This approach makes this algorithm robust and efficient, in terms of computational cost and memory requirements, and thus suitable for large scale implementations. The proposed algorithm is applied in the problem of humans' fall detection that presents high complexity of visual content. Finally, the performances of this scheme and the scheme proposed in [1] by the same authors, are compared.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-18-
Ημερομηνία Δημοσίευσης2012-
Βιβλιογραφική Αναφορά K. Makantasis, A Doulamis, N.F. Matsatsinis, "Student-t background modeling for persons' fall detection through visual cues," in 2012 Image Analysis for Multimedia Interactive Services , 13th International Workshop on(WIAMIS),pp. 1 - 4, doi: 10.1109/WIAMIS.2012.6226767en

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