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Proceedings Paper

CCTV as an automated sensor for firearms detection: human-derived performance as a precursor to automatic recognition
Author(s): Iain T. Darker; Alastair G. Gale; Anastassia Blechko
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Paper Abstract

CCTV operators are able to detect firearms, via CCTV, but their capacity for surveillance is limited. Thus, it is desirable to automate the monitoring of CCTV cameras for firearms using machine vision techniques. The abilities of CCTV operators to detect concealed and unconcealed firearms in CCTV footage were quantified within a signal detection framework. Additionally, the visual search strategies adopted by the CCTV operators were elicited and their efficacies indexed with respect to signal detection performance, separately for concealed and unconcealed firearms. Future work will automate effective, human visual search strategies using image processing algorithms.

Paper Details

Date Published: 16 October 2008
PDF: 12 pages
Proc. SPIE 7112, Unmanned/Unattended Sensors and Sensor Networks V, 71120V (16 October 2008); doi: 10.1117/12.800264
Show Author Affiliations
Iain T. Darker, Loughborough Univ. (United Kingdom)
Alastair G. Gale, Loughborough Univ. (United Kingdom)
Anastassia Blechko, Loughborough Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 7112:
Unmanned/Unattended Sensors and Sensor Networks V
Edward M. Carapezza, Editor(s)

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