Integrating RFID on event-based hemispheric imaging for internet of things assistive applications

Kolias, V; Giannoukos, I; Anagnostopoulos, C; Anagnostopoulos, I; Loumos, V; Kayafas, E

dc.contributor.author	Kolias, V	en
dc.contributor.author	Giannoukos, I	en
dc.contributor.author	Anagnostopoulos, C	en
dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T02:46:51Z
dc.date.available	2014-03-01T02:46:51Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32888
dc.subject	Hemispheric Imaging	en
dc.subject	Internet of Things (IoT)	en
dc.subject	Pervasive Systems	en
dc.subject	RFID	en
dc.subject	Surveillance	en
dc.subject.other	Hemispheric Imaging	en
dc.subject.other	Internet of Things (IoT)	en
dc.subject.other	Pervasive systems	en
dc.subject.other	RFID	en
dc.subject.other	Surveillance	en
dc.subject.other	Cameras	en
dc.subject.other	Chemical detection	en
dc.subject.other	Face recognition	en
dc.subject.other	Flight dynamics	en
dc.subject.other	Image resolution	en
dc.subject.other	Integration	en
dc.subject.other	Internet	en
dc.subject.other	Monitoring	en
dc.subject.other	Radio frequency identification (RFID)	en
dc.subject.other	Security of data	en
dc.subject.other	Technology	en
dc.subject.other	Video cameras	en
dc.subject.other	Security systems	en
dc.title	Integrating RFID on event-based hemispheric imaging for internet of things assistive applications	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1839294.1839367	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1839294.1839367	en
heal.identifier.secondary	61	en
heal.publicationDate	2010	en
heal.abstract	Automatic surveillance of a scene in a broad sense comprises one of the core modules of pervasive applications. Typically, multiple cameras are installed in an area to identify events through image processing techniques, which however present limitations in terms of object occlusion, noise, lighting conditions, image resolution and computational cost. To overcome such limitations and increase recognition accuracy, the video sensor output can be complemented by Radio Frequency Identification technology, which is ideal for the unique identification of objects. In this paper we examine the feasibility of integrating RFID with hemispheric imaging video cameras. After a brief description and discussion of related research regarding RFID location, video surveillance and their integration, we examine the factors that would render such a system feasible in terms of hardware, software and their environments. The advantages and limitations of each technology and their integration are also presented to conclude that their combination could lead to a robust detection of objects and their interactions within an environment. Finally, this work ends with the presentation of some possible applications of such integration. Copyright © 2010 ACM.	en
heal.journalName	ACM International Conference Proceeding Series	en
dc.identifier.doi	10.1145/1839294.1839367	en