Ball-path inference based on a combination of audio and video clues in tennis video sequences

W. Lao, Jungong Han, P.H.N. With, de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)
48 Downloads (Pure)

Abstract

Tennis-sports analysis is attracting much attention in content-analysis research and professional applications.This paper presents a scheme for sports analysis employing an automatic tennis ball-path inference driven by a combination of auditory and visual information. The ball-path inference is implemented for tactics analysis.Since ball tracking remains to be a challenging issue in practice, we use a non-tracking approach for ball-path inference. We propose an effective serving-player detection for achieving an accurate match between a sequence of racket-hit moments and the position of the hitting player in the corresponding video frames. Experimental results have shown that the proposed system can reliably detect the serving-player and classify into different categories, such as left-court/right-court service and frontcourt/ back-court service. Therefore, our system can be utilized for an effective and automatic extraction of various tennis events, performance and tactics analysis with high reliability.
Original languageEnglish
Title of host publicationProceedings of IEEE Benelux/DSP Valley Signal Processing Symposium, February 2006
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-4
Publication statusPublished - 2006

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