EgoPolice introduces a 185-hour annotated police body-worn camera benchmark showing state-of-the-art video models fail on high-stakes actions due to motion, occlusion, and low inter-class visual separability.
Language from Police Body Camera Footage Shows Racial Disparities in Officer Respect
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
Proposes and illustrates a community-informed, multi-perspective approach to developing AI for analyzing LAPD body-worn camera footage of traffic stops.
citing papers explorer
-
EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage
EgoPolice introduces a 185-hour annotated police body-worn camera benchmark showing state-of-the-art video models fail on high-stakes actions due to motion, occlusion, and low inter-class visual separability.
-
Community-Informed AI Models for Police Accountability
Proposes and illustrates a community-informed, multi-perspective approach to developing AI for analyzing LAPD body-worn camera footage of traffic stops.