A Novel Framework for Tracking Groups of Objects
Ron Zohar, Dan Geiger · 2003
Abstract We describe a novel framework for group tracking and identification termed flow conservation group tracking. Our framework integrates local kinematic measurements with flow conservation constraints so as to yield a robust estimation of the positions and types of targets across an arena. The framework is based on three components each of which is novel. The measurement-to-track component uses a reduction to minimum cost flow problems. The estimation of the number of objects on each track is based on estimation using flow networks, and the assessment of the types of vehicles is reduced to hierarchy matching algorithms.