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Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics
- Source :
- IEEE Access, Vol 7, Pp 153238-153248 (2019)
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- A novel method for estimating team tactics in soccer videos based on a Deep Extreme Learning Machine (DELM) and unique characteristics of tactics is presented in this paper. The proposed method estimates the tactics of each team from players' formations and enables successful training from a limited amount of training data. Specifically, the estimation of tactics consists of two stages. First, by utilizing two DELMs corresponding to the two teams, the proposed method estimates the provisional tactics of each team. Second, the proposed method updates the team tactics based on unique characteristics of soccer tactics, the relationship between tactics of the two teams and information on ball possession. Consequently, since the proposed method estimates the team tactics that satisfy these characteristics, accurate estimation results can be obtained. In an experiment, the proposed method is applied to actual soccer videos to verify its effectiveness.
- Subjects :
- General Computer Science
Computer science
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
Machine learning
computer.software_genre
Videos
tactics estimation
0202 electrical engineering, electronic engineering, information engineering
Training
General Materials Science
Extreme learning machine
business.industry
Sports video analysis
General Engineering
deep learning
020207 software engineering
Semantics
semantic analysis
Feature extraction
Artificial intelligence
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
Games
computer
Estimation
lcsh:TK1-9971
Sports
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....be7bf221f72cfeaad79711ac63155071