Print Email Facebook Twitter Detection and Tracking of a Fast-Moving Object in Squash using a Low-Cost Approach Title Detection and Tracking of a Fast-Moving Object in Squash using a Low-Cost Approach Author Sachdeva, Saumil (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Computer Engineering) Contributor van Genderen, A.J. (mentor) Wong, J.S.S.M. (mentor) Zuniga, Marco (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering | Embedded Systems Date 2019-07-16 Abstract Advancement in technology has given rise to the need for technology to be utilized in extracting meaningful game-play information from sports. To do so in a ball-game like squash, the prime objective is to perform ball-tracking in an adequate and efficient manner. In squash, ball-tracking is complex due to the small size of the ball, the high-speed movement and constant occlusion due to the continuous movement of the players. The current state-of-the-art ball tracking methods use high-speed cameras along with high-computation power resources to solve these problems in similar sports such as tennis. The aim of this thesis is to solve the challenges in ball-tracking for squash using a low-cost approach with low-computation power resources and a single camera view. A ball-detection system with a high-accuracy and a ball-tracking system which can optimally tackle the problem of occlusion is developed using computer-vision techniques and by utilizing the cues from the game itself. The implementation is carried out on a Raspberry-Pi which is characterized as a low-computation platform with an Arm Cortex-A53 processor. The results show that the tracking-problem can be solved using a low-cost approach for the challenging scenarios that are present in squash. The 2D trajectory of the ball generated as a result can be used for various applications such as line-calling, shot analysis and game analysis. Subject SquashBall-TrackingComputer VisionLow-Cost To reference this document use: http://resolver.tudelft.nl/uuid:758d345d-ecdf-478e-a534-a23300dbe877 Part of collection Student theses Document type master thesis Rights © 2019 Saumil Sachdeva Files PDF MScThesis_Embedded_System ... Saumil.pdf 9.33 MB Close viewer /islandora/object/uuid:758d345d-ecdf-478e-a534-a23300dbe877/datastream/OBJ/view