Automatic Extraction of Pedestrian Trajectories from Video Recordings

Abstract

To understand and model pedestrian dynamics, reliable empirical data of pedestrian movement are necessary for analysis and verification, but the existing database is small, inaccurate and highly contradictory. For collecting trajectories from extensive experimental series with a large number of persons we are developing a software named PeTrack which automatically extracts these trajectories from normal video recordings with high accuracy in space and time.