Searching in space and time: a system for forensic analysis of large video repositories

Simple item page
dc.contributor.authorVan Den Hengel, A.
dc.contributor.authorHill, R.
dc.contributor.authorDetmold, H.
dc.contributor.authorDick, A.
dc.contributor.conferencee-Forensics 2008 (1st : 2008 : Adelaide, Australia)
dc.contributor.editorSorell, M.
dc.contributor.editorWhite, L.
dc.date.issued2008
dc.description.abstractThe use of surveillance cameras to monitor public buildings and urban areas is becoming increasingly widespread. Each camera delivers a continuous stream of video data, which, once archived, is a valuable source of information for forensic analysis. However, current video analysis tools are primar- ily based on searching backwards and forwards in time at a single location (i.e. camera), which does not account for events or people of interest that change location over time. In this paper we describe a practical system for tracking a target backwards and forwards in both space and time, ef- fectively following a feature of interest as it moves within and between cameras in a surveillance network. This pro- vides a video analysis tool that is target-centred rather than camera-centred, and thus allows rapid access to the footage that matters for forensic analysis.
dc.description.statementofresponsibilityAnton van den Hengel, Rhys Hill, Henry Detmold and Anthony Dick
dc.description.urihttp://portal.acm.org/citation.cfm?id=1363217.1363223
dc.identifier.citationProceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop, 21-23 January, 2008 pp.1-6
dc.identifier.doi10.4108/e-forensics.2008.2713
dc.identifier.isbn9789639799196
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]
dc.identifier.orcidDick, A. [0000-0001-9049-7345]
dc.identifier.urihttp://hdl.handle.net/2440/54523
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeAustralia
dc.source.urihttps://doi.org/10.4108/e-forensics.2008.2713
dc.subjectdistributed systems
dc.subjectforensics
dc.subjectsurveillance
dc.titleSearching in space and time: a system for forensic analysis of large video repositories
dc.typeConference paper
pubs.publication-statusPublished

Files

Collections

Computer Science publications
Australian Institute for Machine Learning publications