Detection and tracking of an explosives-carrying human with odor-sensor based multisensor networks

Authors:
Ahmet Kuzu;Metin Gokasan;Seta Bogosyan
Affiliations:
TUBITAK-MAM-BTE, Gebze, Kocaeli, Turkey;Electrical & Electronics Eng. Fac., Istanbul Technical University, Istanbul, Turkey;Electrical & Computer Engineering, University of Alaska Fairbanks, Fairbanks, AK
Venue:
ICOSSSE'07 Proceedings of the 6th WSEAS international conference on System science and simulation in engineering
Year:
2007

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Abstract

In this study, it is aimed to detect and track an explosives-carrying mobile human moving among other humans. To this aim, a least square estimation (LSE) based sensor and data fusion algorithm is developed to work in combination with a multisensor network consisting of odor, sound, and vibration sensors. The results are evaluated by simulations for various paths traveled by two humans, of which one carries an explosive. The simulation results demonstrate problems related to using odor sensors only and the improved performance in detection and path tracking obtained with the addition of sound sensors. The paper is the first reported study using odor sensors in combination with sound sensors for detection and tracking.