Rangasamy, Keerthana and As’ari, Muhammad Amir and Rahmad, Nur Azmina and Ghazali, Nurul Fathiah and Ismail, Saharudin (2020) Deep learning in sport video analysis: A review. Telkomnika (Telecommunication Computing Electronics and Control), 18 (4). pp. 1926-1933. ISSN 16936930
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Official URL: http://dx.doi.org/10.12928/TELKOMNIKA.V18I4.14730
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.
Item Type: | Article |
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Uncontrolled Keywords: | Deep learning, Human activity recognition |
Subjects: | Q Science > QM Human anatomy |
Divisions: | Biosciences and Medical Engineering |
ID Code: | 91070 |
Deposited By: | Widya Wahid |
Deposited On: | 31 May 2021 13:29 |
Last Modified: | 31 May 2021 13:29 |
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