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Ball tracking for tennis video annotation

Yan, F, Christmas, W and Kittler, J (2014) Ball tracking for tennis video annotation In: UNSPECIFIED UNSPECIFIED, pp. 25-45.

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Abstract

Tennis game annotation using broadcast video is a task with a wide range of applications. In particular, ball trajectories carry rich semantic information for the annotation. However, tracking a ball in broadcast tennis video is extremely challenging. In this chapter, we explicitly address the challenges, and propose a layered data association algorithm for tracking multiple tennis balls fully automatically. The effectiveness of the proposed algorithm is demonstrated on two data sets with more than 100 sequences from real-world tennis videos, where other data association methods perform poorly or fail completely.

Item Type: Book Section
Authors :
NameEmailORCID
Yan, Ff.yan@surrey.ac.ukUNSPECIFIED
Christmas, Ww.christmas@surrey.ac.ukUNSPECIFIED
Kittler, Jj.kittler@surrey.ac.ukUNSPECIFIED
Date : 2014
Identification Number : https://doi.org/10.1007/978-3-319-09396-3_2
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:33
Last Modified : 17 May 2017 15:11
URI: http://epubs.surrey.ac.uk/id/eprint/839674

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