Human behavior classification using multiple views

dc.contributor.author	Κοσμόπουλος, Δημήτριος Ι.	el
dc.contributor.author	Αντωνακάκη, Παναγιώτα	el
dc.contributor.author	Βαλασούλης, Κωνσταντίνος	el
dc.contributor.author	Κεσίδης, Αναστάσιος Λ.	el
dc.contributor.author	Περαντώνης, Σταύρος	el
dc.date.accessioned	2015-06-06T15:51:59Z
dc.date.available	2015-06-06T15:51:59Z
dc.date.issued	2015-06-06
dc.identifier.uri	http://hdl.handle.net/11400/15330
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/chapter/10.1007%2F978-3-540-87881-0_12	el
dc.subject	Homography
dc.subject	Ομογραφία
dc.subject	Human behaviors
dc.subject	Aνθρώπινες συμπεριφορές
dc.subject	Multiple cameras
dc.subject	Πολλαπλές κάμερες
dc.title	Human behavior classification using multiple views	el
heal.type	conferenceItem
heal.classification	Computer science
heal.classification	Information systems
heal.classification	Πληροφορική
heal.classification	Πληροφοριακά συστήματα
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C01993
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Πληροφοριακά συστήματα
heal.identifier.secondary	ISSN: 03029743
heal.identifier.secondary	ISBN: 3540878807;978-354087880-3
heal.identifier.secondary	DOI: 10.1007/978-3-540-87881-0_12
heal.language	en
heal.access	campus
heal.recordProvider	Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Πολιτικών Μηχανικών Τ.Ε. και Μηχανικών Τοπογραφίας και Γεωπληροφορικής Τ.Ε.. Κατεύθυνση Μηχανικών Τοπογραφίας & Γεωπληροφορικής Τ.Ε.	el
heal.publicationDate	2008-10
heal.bibliographicCitation	Kosmopoulos, D., Antonakaki, P., Valasoulis, K., Kesidis, A. and Perantonis, S. (2008). Artificial neural network approach for land cover classification of fused Hyperspectral and LIDAR data. 5th Hellenic Conference on Artificial Intelligence, SETN 2008. Syros, Greece. 2 - 4 October 2008. Available from: http://link.springer.com/chapter/10.1007%2F978-3-540-87881-0_12. [Accessed 02/07/2013]	en
heal.abstract	We present our current results in understanding the behavior of humans moving an a plane using multiple cameras. We exploit the merits of camera registration based on homography estimation to extract position on a 2D map. We use the output of HMM and SVM classifiers to model and extract human behaviour from both the target trajectory and the target short term activity (i.e., walking, running, abrupt motion etc). The proposed approach is verified experimentally in an indoor environment. The current results with a single moving agent are presented.	en
heal.sponsor	University of the Aegean	en
heal.sponsor	Department of Product and Systems Design Engineering	en
heal.sponsor	Holy Metropolis of Syros	en
heal.sponsor	Prefecture of the Cyclades	en
heal.publisher	Springer-Verlag Berlin Heidelberg	en
heal.fullTextAvailability	true
heal.conferenceName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.conferenceItemType	full paper