Open AccessA Soccer Image Sequence Mosaicking and Analysis Method Using Line and Advertisement Board Detection
Author(s) -
Yoon HoSub,
Bae Younglae J.,
Yang Youngkyu
Publication year - 2002
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.02.0102.0005
Subject(s) - computer vision , artificial intelligence , line (geometry) , component (thermodynamics) , computer science , image (mathematics) , field (mathematics) , sequence (biology) , computer graphics (images) , mathematics , physics , geometry , genetics , biology , pure mathematics , thermodynamics
This paper introduces a system for mosaicking sequences of soccer images in a panoramic view for soccer game analysis. The continuous mosaic images of the soccer ground field allow the user to view a wide picture of the players’ actions. The initial component of our algorithm automatically detects and traces the players and some lines. The next component of our algorithm finds the parameters of the captured image coordinates and transforms them into ground model coordinates for automatic soccer game analysis. The results of our experimentations indicate that the proposed system offers a promising method for segmenting, mosaicking, and analyzing soccer image sequences.