FHWA Pedestrian Video Analytics
Privacy-preserving video analytics and edge computing for anonymized pedestrian activity data extraction.
Funding agency: Federal Highway Administration (FHWA), Exploratory Advanced Research (EAR) Program
Project: Computer Vision and Edge Computing for Extraction of Anonymized Pedestrian Activity Data from Video
Role: Co-PI
Period: 2026-2028
Award: $250,000 total; $80,000 Li portion
This project develops privacy-preserving computer vision and edge-computing methods to extract pedestrian activity information from video for transportation safety and operations. Collaborating institutions include FHWA-supported project partners and Texas A&M University.