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A review of vision-based systems for soccer video analysis

Academic Article
Publication Date:
2010
abstract:
This paper presents a survey of soccer video analysis systems for different applications: video summarization, provision of augmented information, high-level analysis. Computer vision techniques have been adapted to be applicable in the challenging soccer context. Different semantic levels of interpretation are required according to the complexity of the corresponding applications. For each application area we analyze the computer vision methodologies, their strengths and weaknesses and we investigate whether these approaches can be applied to extensive and real time soccer video analysis.
Iris type:
01.01 Articolo in rivista
Keywords:
Soccer video analysis; Computer vision; Low-level and high-level feature extraction; Modeling of feature dynamics
List of contributors:
D'Orazio, TIZIANA RITA; Leo, Marco
Authors of the University:
D'ORAZIO TIZIANA RITA
LEO MARCO
Handle:
https://iris.cnr.it/handle/20.500.14243/29541
Published in:
PATTERN RECOGNITION
Journal
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