3 papers
cs.CV2025
Dissecting Human Body Representations in Deep Networks Trained for Person Identification
Thomas M Metz, Matthew Q Hill, Blake Myers +3
Long-term body identification algorithms have emerged recently with the increased availability of high-quality training data. We seek to fill knowledge gaps about these models by a…
cs.CV2025
Unconstrained Body Recognition at Altitude and Range: Comparing Four Approaches
Blake A Myers, Matthew Q Hill, Veda Nandan Gandi +2
This study presents an investigation of four distinct approaches to long-term person identification using body shape. Unlike short-term re-identification systems that rely on tempo…
cs.CV2023
Recognizing People by Body Shape Using Deep Networks of Images and Words
Blake A. Myers, Lucas Jaggernauth, Thomas M. Metz +4
Common and important applications of person identification occur at distances and viewpoints in which the face is not visible or is not sufficiently resolved to be useful. We exami…