Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/69109
DC Field | Value | |
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dc.title | A trajectory-based ball detection and tracking algorithm in broadcast tennis video | |
dc.contributor.author | Yu, X. | |
dc.contributor.author | Sim, C.-H. | |
dc.contributor.author | Wang, J.R. | |
dc.contributor.author | Cheong, L.F. | |
dc.date.accessioned | 2014-06-19T02:56:55Z | |
dc.date.available | 2014-06-19T02:56:55Z | |
dc.date.issued | 2004 | |
dc.identifier.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. | |
dc.identifier.issn | 15224880 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/69109 | |
dc.description.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. | |
dc.source | Scopus | |
dc.subject | Broadcast tennis video | |
dc.subject | Candidate feature image | |
dc.subject | Hitting point | |
dc.subject | Trajectory processing | |
dc.subject | Trajectory-based algorithm | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.sourcetitle | Proceedings - International Conference on Image Processing, ICIP | |
dc.description.volume | 5 | |
dc.description.page | 1049-1052 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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