Mid-level feature set for specific event and anomaly detection in crowded scenes

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dc.contributor.author Calle Silos, Fernando de la
dc.contributor.author González Díaz, Iván
dc.contributor.author Díaz de María, Fernando
dc.date.accessioned 2015-09-18T10:32:56Z
dc.date.available 2015-09-18T10:32:56Z
dc.date.issued 2013
dc.identifier.bibliographicCitation 2013 IEEE International Conference on Image Processing ICIP 2013: Proceedings. (pp. 4001 - 4005). IEEE.
dc.identifier.isbn 978-1-4799-2341-0
dc.identifier.uri http://hdl.handle.net/10016/21587
dc.description Proceedings of: 20th IEEE International Conference on Image Processing (ICIP 2013). Melbourne, Australia, September 15-18, 2013.
dc.description.abstract In this paper we propose a system for automatic detection of specific events and abnormal behaviors in crowded scenes. In particular, we focus on the parametrization by proposing a set of mid-level spatio-temporal features that successfully model the characteristic motion of typical events in crowd behaviors. Furthermore, due to the fact that some features are more suitable than others to model specific events of interest, we also present an automatic process for feature selection. Our experiments prove that the suggested feature set works successfully for both explicit event detection and distance-based anomaly detection tasks. The results on PETS for explicit event detection are generally better than those previously reported. Regarding anomaly detection, the proposed method performance is comparable to those of state-of-the-art method for PETS and substantially better than that reported for Web dataset.
dc.format.extent 5
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2013 IEEE.
dc.subject.other Clutter environment
dc.subject.other Crowded environments
dc.subject.other Machine Vision
dc.subject.other Motion analysis
dc.subject.other Video processing
dc.subject.other Video surveillance
dc.title Mid-level feature set for specific event and anomaly detection in crowded scenes
dc.type bookPart
dc.type conferenceObject
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/ICIP.2013.6738824
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1109/ICIP.2013.6738824
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.relation.eventdate September 15-18, 2013.
dc.relation.eventnumber 20
dc.relation.eventplace Melbourne, Australia
dc.relation.eventtitle 20th IEEE International Conference on Image Processing (ICIP 2013).
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 4001
dc.identifier.publicationlastpage 4005
dc.identifier.publicationtitle 2013 IEEE International Conference on Image Processing ICIP 2013: Proceedings.
dc.identifier.uxxi CC/0000022142
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