Department of Mathematical Sciences
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Browsing Department of Mathematical Sciences by Subject "3D Tracking"
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- Item3D position estimation of sports players through multi-view tracking(Stellenbosch : University of Stellenbosch, 2010-12) Vos, Robert (Robbie); Brink, Willie; Herbst, Ben; University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences.ENGLISH ABSTRACT: Extracting data from video streams and using the data to better understand the observed world allows many systems to automatically perform tasks that ordinarily needed to be completed by humans. One such problem with a wide range of applications is that of detecting and tracking people in a video sequence. This thesis looks speci cally at the problem of estimating the positions of players on a sports eld, as observed by a multi-view camera setup. Previous attempts at solving the problem are discussed, after which the problem is broken down into three stages: detection, 2D tracking and 3D position estimation. Possible solutions to each of the problems are discussed and compared to one another. Motion detection is found to be a fast and e ective solution to the problem of detecting players in a single view. Tracking players in 2D image coordinates is performed by implementing a hierarchical approach to the particle lter. The hierarchical approach is chosen as it improves the computational complexity without compromising on accuracy. Finally 3D position estimation is done by multiview, forward projection triangulation. The components are combined to form a full system that is able to nd and locate players on a sports eld. The overall system that is developed is able to detect, track and triangulate player positions. The components are tested individually and found to perform well. By combining the components and introducing feedback between them the results of the individual components as well as those of the overall system are improved.