TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 18, No 4: August 2020

Deep learning in sport video analysis: a review

Keerthana Rangasamy (Universiti Teknologi Malaysia)
Muhammad Amir As’ari (Universiti Teknologi Malaysia)
Nur Azmina Rahmad (Universiti Teknologi Malaysia)
Nurul Fathiah Ghazali (Universiti Teknologi Malaysia)
Saharudin Ismail (Universiti Teknologi Malaysia)



Article Info

Publish Date
01 Aug 2020

Abstract

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.

Copyrights © 2020






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...