Transfer learning using infrared and optical full motion video data for gender classification

Alexander M. Glandon; Joe Zalameda; Khan M. Iftekharuddin

doi:10.1117/12.2663972

13 June 2023 Transfer learning using infrared and optical full motion video data for gender classification

Alexander M. Glandon, Joe Zalameda, Khan M. Iftekharuddin

Proceedings Volume 12534, Infrared Technology and Applications XLIX; 1253418 (2023) https://doi.org/10.1117/12.2663972
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

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.

Conference Presentation

Citation Download Citation

Alexander M. Glandon, Joe Zalameda, and Khan M. Iftekharuddin "Transfer learning using infrared and optical full motion video data for gender classification", Proc. SPIE 12534, Infrared Technology and Applications XLIX, 1253418 (13 June 2023); https://doi.org/10.1117/12.2663972

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available