Hockey activity recognition using pre-trained deep learning model

• Main Authors: Rangasamy, Keerthana, As’ari, Muhammad Amir, Rahmad, Nur Azmina, Ghazali, Nurul Fathiah
• Format: Article
• Language: English
• Published: Korean Institute of Communications Information Sciences 2020
• Subjects: H Social Sciences (General)
• 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
• Institution: Universiti Teknologi Malaysia

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...