CCTV as an automated sensor for firearms detection: human-derived performance as a precursor to automatic recognition

Iain T. Darker; Alastair G. Gale; Anastassia Blechko

doi:10.1117/12.800264

16 October 2008 CCTV as an automated sensor for firearms detection: human-derived performance as a precursor to automatic recognition

Iain T. Darker, Alastair G. Gale, Anastassia Blechko

Author Affiliations +

Proceedings Volume 7112, Unmanned/Unattended Sensors and Sensor Networks V; 71120V (2008) https://doi.org/10.1117/12.800264
Event: SPIE Security + Defence, 2008, Cardiff, Wales, United Kingdom

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.

Citation Download Citation

Iain T. Darker, Alastair G. Gale, and Anastassia Blechko "CCTV as an automated sensor for firearms detection: human-derived performance as a precursor to automatic recognition", Proc. SPIE 7112, Unmanned/Unattended Sensors and Sensor Networks V, 71120V (16 October 2008); https://doi.org/10.1117/12.800264

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