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|Title:||A trajectory-based ball detection and tracking algorithm in broadcast tennis video||Authors:||Yu, X.
|Keywords:||Broadcast tennis video
Candidate feature image
|Issue Date:||2004||Citation:||Yu, X.,Sim, C.-H.,Wang, J.R.,Cheong, L.F. (2004). A trajectory-based ball detection and tracking algorithm in broadcast tennis video. Proceedings - International Conference on Image Processing, ICIP 5 : 1049-1052. ScholarBank@NUS Repository.||Abstract:||Ball locations over frames facilitate tennis video analysis to a great extent. But so far no algorithm is able to obtain satisfactory result in locating the ball in broadcast tennis video (BTV). This paper presents a trajectory-based algorithm to detect and track the ball in BTV. Unlike the object-based algorithm, it does not decide whether an object is the ball. Instead it decides whether a candidate trajectory is a ball trajectory. This algorithm is able to obtain ball locations for most frames in a BTV, making use of four cues, namely, (1) an anti-model method to produce ball candidates from each frame, (2) a trajectory-based scheme to generate, identify, and extend the ball trajectories from a set of candidates, (3) a method to infer the ball locations according to players' locations and the points of hitting, (4) a method to estimate missing ball locations from known ball locations. The experimental results show that our algorithm obtains the ball locations for above 96% frames in a sufficient accuracy for summarization. ©2004 IEEE.||Source Title:||Proceedings - International Conference on Image Processing, ICIP||URI:||http://scholarbank.nus.edu.sg/handle/10635/69109||ISSN:||15224880|
|Appears in Collections:||Staff Publications|
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