Document Type

Conference Paper

Publication Date

2023

DOI

10.1117/12.2663972

Publication Title

Infrared Technology and Applications XLIX, Proceedings of SPIE 12534

Pages

1253418 (1-10 pp.)

Conference Name

SPIE Defense + Commercial Sensing, April 30- May 5, 2023, Orlando, Florida

Abstract

This work is a review and extension of our ongoing research in human recognition analysis using multimodality motion sensor data. We review our work on hand crafted feature engineering for motion capture skeleton (MoCap) data, from the Air Force Research Lab for human gender followed by depth scan based skeleton extraction using LIDAR data from the Army Night Vision Lab for person identification. We then build on these works to demonstrate a transfer learning sensor fusion approach for using the larger MoCap and smaller LIDAR data for gender classification.

Rights

Copyright 2023 Society of Photo‑Optical Instrumentation Engineers (SPIE).

One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.

Original Publication Citation

Glandon, A. M., Zalameda, J., & Iftekharuddin, K. M. (2023). Transfer learning using infrared and optical full motion video data for gender classification. In G. L. Fulop, D. Z. Ting, & L. L. Zheng (Eds.), Infrared Technology and Applications XLIX, Proceedings of SPIE 12534 (1253418). SPIE. https://doi.org/10.1117/12.2663972

ORCID

0000-0001-8316-4163 (Iftekharuddin)

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