Infrared Technology and Applications XLIX, Proceedings of SPIE 12534
1253418 (1-10 pp.)
SPIE Defense + Commercial Sensing, April 30- May 5, 2023, Orlando, Florida
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.
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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
Glandon, Alexander M.; Zalameda, Joe; Iftekharuddin, Khan M.; Fulop, Gabor F. (Ed.); Ting, David Z. (Ed.); and Zheng, Lucy L. (Ed.), "Transfer Learning Using Infrared and Optical Full Motion Video Data for Gender Classification" (2023). Electrical & Computer Engineering Faculty Publications. 414.