Article
Version 1
Preserved in Portico This version is not peer-reviewed
Line Extraction and Player Tracking in Tennis Videos
Version 1
: Received: 1 June 2017 / Approved: 2 June 2017 / Online: 2 June 2017 (06:04:57 CEST)
How to cite: Erol, V. Line Extraction and Player Tracking in Tennis Videos. Preprints 2017, 2017060013. https://doi.org/10.20944/preprints201706.0013.v1 Erol, V. Line Extraction and Player Tracking in Tennis Videos. Preprints 2017, 2017060013. https://doi.org/10.20944/preprints201706.0013.v1
Abstract
Sports video analysis is an interesting and emerging field in the domain of computer vision. It has become a very popular subject among scholars all over the world in the last decade due to the need of automated classification of events such as offsides, in/out situations, goals and so on. The most important problem in sports video analysis is detection and tracking of ball and players. Extraction of court lines is also another important problem since it is necessary in the classification of aforementioned events. In this study, considering some of the previous work on the subject, we develop a method for tracking the ball and players in tennis videos where the camera position and orientation is supposed fixed.
Keywords
line extraction; morphological image processing; player tracking; sport videos
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment