Hockey activity recognition using pre-trained deep learning model
Activity recognition in sports is often complex task resulting from the rapid dynamic interaction within players. In this paper, pre-trained VGG-16, deep learning based hockey activity recognition model has been proposed. Own hockey dataset consisting of four main activity includes free hit, goal, p...
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Main Authors: | Rangasamy, Keerthana, As’ari, Muhammad Amir, Rahmad, Nur Azmina, Ghazali, Nurul Fathiah |
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Format: | Article |
Language: | English |
Published: |
Korean Institute of Communications Information Sciences
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/91279/1/MuhammadAmirAs%60Ari2020_HockeyActivityRecognitionUsingPre-Trained.pdf http://eprints.utm.my/id/eprint/91279/ http://dx.doi.org/10.1016/j.icte.2020.04.013 |
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