[POSTER] Automated Evaluation and Configuration of Object Tracking for Augmented Reality

Object tracking configuration is a tedious task for users due to an overwhelming amount of parameters while solving a multicriterial optimisation problem for a black box. With increasing complexity of the algorithms and fast changing situations due to the upcoming fourth industrial revolution, even experts will find themselves struggling with this topic. For this reason we present a concept for an automated evaluation and configuration of object tracking algorithms used in augmented reality applications. Given an arbitrary but specified use case the best suitable parameter set shall be found. Therefore the concept utilises statistical analysis of the vast parameter space performing multicriterial optimisation regarding a formalisation of the tracking quality within a virtual testbed.