Print Email Facebook Twitter A visual analysis framework for dinghy sailing: Towards leveraging recorded training sessions Title A visual analysis framework for dinghy sailing: Towards leveraging recorded training sessions Author Reichert, Gijs (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Vilanova Bartroli, Anna (mentor) Marroquim, Ricardo (graduation committee) van Gemert, Jan (graduation committee) van der Heijden, Gert (graduation committee) Broekens, Douwe (graduation committee) Degree granting institution Delft University of Technology Date 2020-02-20 Abstract Nowadays video plays an important role in the coaching of athletes across many different sports. To make more use of the advantages videos can provide for coaching, the Dutch Sailing team is shifting from manually recording short videos towards continuously recording training sessions. This new recording approach provides opportunities and creates challenges at the same time. In this thesis we present a pipeline to address the problems with the stability of the recording and the first steps towards a Visual Analysis Framework, which leverages the available video data. New information is extracted from the video recordings by detecting and tracking the boat and sailors. Moreover, we semi-automatically highlight interesting intervals in time of a recorded training session. These are the first steps towards an extensive Visual Analysis Framework which has the potential to make the analysis of the videos easier and provide the coaches with tools to improve the analysis of the performance of the sailors. Subject SailingVideoVisual AnalyticsDinghy To reference this document use: http://resolver.tudelft.nl/uuid:d29ec61e-fcef-4510-8d6c-48af54e94bf8 Part of collection Student theses Document type master thesis Rights © 2020 Gijs Reichert Files PDF Thesis_Final_C.pdf 1.99 MB Close viewer /islandora/object/uuid:d29ec61e-fcef-4510-8d6c-48af54e94bf8/datastream/OBJ/view