TELKOMNIKA Telecommunication, Computing, Electronics and Control
Deep learning in sport video analysis: a review
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Deep learning in sport video analysis: a review
Deep learning in sport video analysis: a review
Subject
Deep learning, Human activity recognition, Sport video analysis
Description
Sport is a competitive field, where it is an element of measurement for
a countries development. Due to this reason, sport analysis has become one of the major contribution in analysing and improving the performance level of an athlete. Video-based modality has become a crucial tool used in sport analysis by coaches and performance analysis. There were wide variety of techniques used in sport video analysis. The main purpose of this review paper is to compare and update review between traditional handcrafted approach and deep learning approach in sport video analysis based on human activity recognition, overview of recent study in video based human activity recognition in sport analysis and finally concluded with future potential direction in sport video analysis.
a countries development. Due to this reason, sport analysis has become one of the major contribution in analysing and improving the performance level of an athlete. Video-based modality has become a crucial tool used in sport analysis by coaches and performance analysis. There were wide variety of techniques used in sport video analysis. The main purpose of this review paper is to compare and update review between traditional handcrafted approach and deep learning approach in sport video analysis based on human activity recognition, overview of recent study in video based human activity recognition in sport analysis and finally concluded with future potential direction in sport video analysis.
Creator
Keerthana Rangasamy, Muhammad Amir As’ari, Nur Azmina Rahmad, Nurul Fathiah Ghazali, Saharudin Ismail
Source
DOI: 10.12928/TELKOMNIKA.v18i4.14730
Publisher
Universitas Ahmad Dahlan
Date
August 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Keerthana Rangasamy, Muhammad Amir As’ari, Nur Azmina Rahmad, Nurul Fathiah Ghazali, Saharudin Ismail, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Deep learning in sport video analysis: a review,” Repository Horizon University Indonesia, accessed March 14, 2025, https://repository.horizon.ac.id/items/show/3980.
Deep learning in sport video analysis: a review,” Repository Horizon University Indonesia, accessed March 14, 2025, https://repository.horizon.ac.id/items/show/3980.