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https://hdl.handle.net/2440/54523
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Type: | Conference paper |
Title: | Searching in space and time: a system for forensic analysis of large video repositories |
Author: | Van Den Hengel, A. Hill, R. Detmold, H. Dick, A. |
Citation: | Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop, 21-23 January, 2008 pp.1-6 |
Publisher: | IEEE |
Publisher Place: | Australia |
Issue Date: | 2008 |
ISBN: | 9789639799196 |
Conference Name: | e-Forensics 2008 (1st : 2008 : Adelaide, Australia) |
Editor: | Sorell, M. White, L. |
Statement of Responsibility: | Anton van den Hengel, Rhys Hill, Henry Detmold and Anthony Dick |
Abstract: | The 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. |
Keywords: | distributed systems forensics surveillance |
DOI: | 10.4108/e-forensics.2008.2713 |
Description (link): | http://portal.acm.org/citation.cfm?id=1363217.1363223 |
Published version: | http://dx.doi.org/10.4108/e-forensics.2008.2713 |
Appears in Collections: | Aurora harvest Australian Institute for Machine Learning publications Computer Science publications |
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