Assessment of a linear pyroelectric array sensor for profile classification

Authors

Jeremy B. Brown, University of MemphisFollow
Srikant Chari, University of MemphisFollow
John Hutchison, U.S. Army Night Vision & Electronic Sensors Directorate
Josh Gabonia, U.S. Army Night Vision & Electronic Sensors Directorate
Eddie Jacobs, University of MemphisFollow

Abstract

This paper describes the development of linear pyroelectric array systems for classification of human, animal, and vehicle targets. The pyroelectric array is simulated to produce binary profiles of targets. The profiles are classified based on height to width ratio using Naïve Bayesian classifiers. Profile widths of targets can vary due to the speed of the target. Target speeds were calculated using two techniques; two array columns, and a tilted array. The profile width was modified by the calculated speeds to show an improvement in classification results. © 2010 SPIE.

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Recommended Citation

Brown, J., Chari, S., Hutchison, J., Gabonia, J., & Jacobs, E. (2010). Assessment of a linear pyroelectric array sensor for profile classification. Proceedings of SPIE - The International Society for Optical Engineering https://doi.org/10.1117/12.850272