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Automatic labeling of sports video using umpire gesture recognition

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posted on 2004-01-01, 00:00 authored by G Chambers, Svetha VenkateshSvetha Venkatesh, G West
We present results on an extension to our approach for automatic sports video annotation. Sports video is augmented with accelerometer data from wrist bands worn by umpires in the game. We solve the problem of automatic segmentation and robust gesture classification using a hierarchical hidden Markov model in conjunction with a filler model. The hierarchical model allows us to consider gestures at different levels of abstraction and the filler model allows us to handle extraneous umpire movements. Results are presented for labeling video for a game of Cricket.

History

Chapter number

94

Pagination

859-867

Open access

  • Yes

ISSN

0302-9743

ISBN-13

9783540225706

ISBN-10

3540225706

Language

eng

Publication classification

B1.1 Book chapter

Copyright notice

2004, Springer-Verlag Berlin Heidelberg

Extent

127

Editor/Contributor(s)

Fred A, Caelli T, Duin R, Campilho A, de Ridder D

Publisher

Springer-Verlag

Place of publication

Berlin, Germany

Title of book

Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings

Series

Lecture notes in computer science ; 3138

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