Focusing on the dynamics of maneuvering objects for visual tracking, this work explores the integration of recursive Bayesian filters with deep learning techniques for state estimation. It presents a comprehensive approach that combines these methodologies to enhance the understanding and effectiveness of visual tracking systems.
After over a decade of relative stability, recent years have seen new momentum in EU budget politics. The Treaty of Lisbon introduced the broadest reform of budgetary procedures since the 1970s, while the financial and economic crisis has intensified scepticism towards European integration among citizens and decision-makers. As a result, the EU budget has become more controversial, more flexible and more fragmented. This volume brings together contributions from scholars and practitioners that address empirical and theoretical questions surrounding the new politics of the EU budget. With contributions by: Michael W. Bauer, Peter Becker, Stefan Becker, Gabriele Cipriani, Manuele Citi, Alessandro D'Alfonso, Alfredo De Feo, Magdalena Sapala, Linn Selle, Anne Vitrey, Uwe Wagschal, Georg Wenzelburger