Event detection in spatiotemporal soccer data using neural networks

Event detection in spatiotemporal soccer data using neural networks

In the world of professional soccer, data analytics of individual player and team performance are important for the success of a team. These performance analyses are based on positional data and sequence of events occurring in the match (e.g. kick, pass, shot). The positional data of the ball and pl...

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Bibliographic Details
Main Author: Wilbert
Other Authors: Cheng Long
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:https://hdl.handle.net/10356/148013

Internet

https://hdl.handle.net/10356/148013

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