Changes

If you have an estimate, classify level There seem to be different subtasks to be solved with increasing degree of sophistication/difficulty according .* One option could be tofirst work on track assembly/completion for individual markers. This could already improve input data quality enough that Nexus and the description of the CCU in the cluster proposal intoVicon tracker produce better results.* Standard problems which just require applying existing methods (Hiwi level)One could work on improving different subsystems first, such as per frame pattern detection hypotheses.* Elaborate problems which require substantial adaptation or extension Next step would be embedding per-frame pattern hypotheses into a state-of-the-art tracker to build tracks/pose of existing methods (Master student level)individuals.* Special problems which require research The most interesting approach would be to adapt a state-of entirely new methods -the-art tracker for individual object detections to pattern tracking, where the marker detections belong to certain rigid patterns, and might lead to some of a pattern's points can be missing on a paper or two per-frame basis (Phi.De. student levela per-frame pattern detection is not a required first step)Maybe add a short clarification of what you believe are the main difficulties, and why you believe this . The goal is then doing the right classificationassignment from detections to tracks of patterns.