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Table tennis and computer vision: a monocular event classifier

© Springer International Publishing Switzerland 2016. Detecting events in table tennis using monocular video sequences for match-play officiating is challenging. Here a low-cost monocular video installation generates image sequences and, using the Horn-Schunck Optical Flow algorithm, ball detection...

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Bibliographic Details
Main Authors:	Kevin M. Oldham, Paul Chung, Eran Edirisinghe, Ben Halkon
Format:	Default Conference proceeding
Published:	2016
Subjects:	Other information and computing sciences not elsewhere classified Event classification Table tennis Ball Segmentation Detection Computer vision Optical flow Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/20220
Tags:	Add Tag No Tags, Be the first to tag this record!

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