Julian Kooij’s research focuses on various problems in the area of tracking and track analysis, with a focus on applications in the surveillance and intelligent vehicle domains, such as pedestrian path prediction. He takes the Switching Linear Dynamical System as a starting point to represent alternating pedestrian dynamics. One of the problems Kooij addresses is online pedestrian path prediction from a moving vehicle, concentrating on situations where pedestrians approach the curb to cross the road.
J.F.P. Kooij: Generative Models for Pedestrian Track Analysis.
Prof. D.M. Gavrila
Dr G. Englebienne
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