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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Nurul Fathiah Ghazali
Universiti Teknologi Malaysia(UTM)

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A Survey of Video Based Action Recognition in Sports Nur Azmina Rahmad; Muhammad Amir As'ari; Nurul Fathiah Ghazali; Norazman Shahar; Nur Anis Jasmin Sufri
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp987-993

Abstract

Sport performance analysis which is crucial in sport practice is used to improve the performance of athletes during the games. Many studies and investigation have been done in detecting different movements of player for notational analysis using either sensor based or video based modality. Recently, vision based modality has become the research interest due to the vast development of video transmission online. There are tremendous experimental studies have been done using vision based modality in sport but only a few review study has been done previously. Hence, we provide a review study on the video based technique to recognize sport action toward establishing the automated notational analysis system. The paper will be organized into four parts. Firstly, we provide an overview of the current existing technologies of the video based sports intelligence systems. Secondly, we review the framework of action recognition in all fields before we further discuss the implementation of deep learning in vision based modality for sport actions. Finally, the paper summarizes the further trend and research direction in action recognition for sports using video approach. We believed that this review study would be very beneficial in providing a complete overview on video based action recognition in sports.
Co-Authors Muhammad Amir As'ari Norazman Shahar Nur Anis Jasmin Sufri Nur Azmina Rahmad