System-Wide Tracking of Individuals

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dc.contributor.author Madden, Christopher en_US
dc.contributor.author Piccardi, Massimo en_US
dc.contributor.author Van Den Hengel, Anton en_US
dc.contributor.editor Paolo Remagnino, Lakhmi C. Jain, Dorothy N.Monekosso en_US
dc.date.accessioned 2012-10-12T03:31:31Z
dc.date.available 2012-10-12T03:31:31Z
dc.date.issued 2011 en_US
dc.identifier 2011002409 en_US
dc.identifier.citation Madden Christopher, Piccardi Massimo, and Van Den Hengel Anton 2011, 'System Wide Tracking of Individuals', Springer-Verlag Berlin / Heidelberg, Berlin/Heidelberg, pp. 83-101. en_US
dc.identifier.issn 978-3-642-18277-8 en_US
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/17750
dc.description.abstract Tracking the movements of people around surveillance systems is becoming increasingly important in the current security conscious environment. This chapter discusses recent research to assist with tracking the movement of individuals throughout the full surveillance area, even when those views do not overlap and may be separated by significant distances. This is due to advances in tracking within a camera view, which allows feature models to be built of an individual. The feature models can include a range of shape, appearance, and transition features appropriate for use with surveillance footage. These may also utilise spatial information about the objects from both the real world and image planes to increase individual discriminitivity. These feature models can be combined and compared within a statistical framework to determine the probability of any two tracks being made by the same individual. It is this combination of such tracks that allows for system wide tracking of individuals to be performed. Techniques are also presented to improve the accuracy of the feature information. These include the application of spatial or temporal smoothing, the identifcation and removal of signifcant feature errors, as well as the mitigation of other potential error sources like illumination. The results of both the individual features, and the combined system wide tracks are presented based upon an analysis of individuals observed in realistic surveillance footage. These show that current camera technology will not produce a fully automated system, but can provide signifcant information to assist security operators. en_US
dc.language en_US
dc.publisher Springer-Verlag Berlin / Heidelberg en_US
dc.relation.isbasedon en_US
dc.title System-Wide Tracking of Individuals en_US
dc.parent Innovations in Defence Support Systems 3: Intelligent Paradigms in Security en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin/Heidelberg en_US
dc.identifier.startpage 83 en_US
dc.identifier.endpage 101 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 10260420 en_US
dc.personcode 020073 en_US
dc.personcode 0000050651 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition First edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords surveillance, camera tracking, security, en_US


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