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...
Saved in:
Main Author: | Wilbert |
---|---|
Other Authors: | Cheng Long |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Urban sound tagging with spatiotemporal context
by: Kwok, Li Long
Published: (2021) -
Subject adaptation with deep convolutional neural network for EEG-based motor imagery classification
by: Zhang, Kaishuo
Published: (2020) -
Web application with spatio-temporal analytics on soccer game data
by: Sin, Bryan Chong Wen
Published: (2021) -
Abnormal event detection in crowded scenes using sparse representation
by: Cong, Yang, et al.
Published: (2013) -
Decision trees, random vector functional link neural network and their ensembles
by: Katuwal, Rakesh Kumar
Published: (2020)