Discrimination of abandoned and stolen object based on active contours

Biblos-e Archivo/Manakin Repository

Show simple item record

dc.contributor.author Caro Campos, Luis Alberto
dc.contributor.author Sanmiguel, Juan Carlos
dc.contributor.author Martínez, José M.
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2015-06-30T13:58:29Z
dc.date.available 2015-06-30T13:58:29Z
dc.date.issued 2011
dc.identifier.citation 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2011, IEEE, 2011. 101-106 en_US
dc.identifier.isbn 978-1-4577-0843-5 (print) en_US
dc.identifier.isbn 978-1-4577-0844-2 (online) en_US
dc.identifier.uri http://hdl.handle.net/10486/667127
dc.description Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. L. Caro Campos, J. C. Sanmiguel, and J. M. Martínez "Discrimination of abandoned and stolen object based on active contours", in 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2011 , p. 101-106 en_US
dc.description.abstract In this paper we propose an approach based on active contours to discriminate previously detected static foreground regions between abandoned and stolen. Firstly, the static foreground object contour is extracted. Then, an active contour adjustment is performed on the current and the background frames. Finally, similarities between the initial contour and the two adjustments are studied to decide whether the object is abandoned or stolen. Three different methods have been tested for this adjustment. Experimental results over a heterogeneous dataset show that the proposed method outperforms state-of-art approaches and provides a robust solution against non-accurate data (i.e., foreground static objects wrongly segmented) that is common in complex scenarios. en_US
dc.description.sponsorship This work has been partially supported by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund. en_US
dc.format.extent 7 pág. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights © 2011 IEEE en_US
dc.subject.other Active contours en_US
dc.subject.other Image color analysis en_US
dc.subject.other Image edge detection en_US
dc.title Discrimination of abandoned and stolen object based on active contours en_US
dc.type conferenceObject en
dc.type bookPart en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/AVSS.2011.6027302
dc.identifier.doi 10.1109/AVSS.2011.6027302
dc.identifier.publicationfirstpage 101
dc.identifier.publicationlastpage 106
dc.relation.eventdate August 30-September 2, 2011 en_US
dc.relation.eventnumber 8
dc.relation.eventplace Klagenfurt (Germany) en_US
dc.relation.eventtitle 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2011 en_US
dc.type.version info:eu-repo/semantics/acceptedVersion en
dc.contributor.group Tratamiento e Interpretación de Vídeo (ING EPS-006) es_ES
dc.rights.accessRights openAccess en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record