Detection of person borne IEDs using multiple cooperative sensors

Scott MacIntosh; Ross Deming; Thorkild Hansen; Neel Kishan; Ling Tang; Jing Shea; Stephen Lang

doi:10.1117/12.883587

2 June 2011 Detection of person borne IEDs using multiple cooperative sensors

Scott MacIntosh, Ross Deming, Thorkild Hansen, Neel Kishan, Ling Tang, Jing Shea, Stephen Lang

Proceedings Volume 8019, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X; 801910 (2011) https://doi.org/10.1117/12.883587
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

The use of multiple cooperative sensors for the detection of person borne IEDs is investigated. The purpose of the effort is to evaluate the performance benefits of adding multiple sensor data streams into an aided threat detection algorithm, and a quantitative analysis of which sensor data combinations improve overall detection performance. Testing includes both mannequins and human subjects with simulated suicide bomb devices of various configurations, materials, sizes and metal content. Aided threat recognition algorithms are being developed to test detection performance of individual sensors against combined fused sensors inputs. Sensors investigated include active and passive millimeter wave imaging systems, passive infrared, 3-D profiling sensors and acoustic imaging. The paper describes the experimental set-up and outlines the methodology behind a decision fusion algorithm-based on the concept of a "body model".

Citation Download Citation

Scott MacIntosh, Ross Deming, Thorkild Hansen, Neel Kishan, Ling Tang, Jing Shea, and Stephen Lang "Detection of person borne IEDs using multiple cooperative sensors", Proc. SPIE 8019, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X, 801910 (2 June 2011); https://doi.org/10.1117/12.883587

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