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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2020-09-01
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Series: | ICT Express |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959520300114 |
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author | Keerthana Rangasamy Muhammad Amir As’ari Nur Azmina Rahmad Nurul Fathiah Ghazali |
author_facet | Keerthana Rangasamy Muhammad Amir As’ari Nur Azmina Rahmad Nurul Fathiah Ghazali |
author_sort | Keerthana Rangasamy |
collection | DOAJ |
description | 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, penalty corner and long corner was constructed as there are no existing field hockey datasets available. Experimental results indicate that the pre-trained deep learning model generates comparative results on this challenging dataset by tweaking the hyperparameters of this pre-trained model. |
first_indexed | 2024-12-12T15:11:30Z |
format | Article |
id | doaj.art-7122846b2c0448f1b4de49da5a0d979c |
institution | Directory Open Access Journal |
issn | 2405-9595 |
language | English |
last_indexed | 2024-12-12T15:11:30Z |
publishDate | 2020-09-01 |
publisher | Elsevier |
record_format | Article |
series | ICT Express |
spelling | doaj.art-7122846b2c0448f1b4de49da5a0d979c2022-12-22T00:20:37ZengElsevierICT Express2405-95952020-09-0163170174Hockey activity recognition using pre-trained deep learning modelKeerthana Rangasamy0Muhammad Amir As’ari1Nur Azmina Rahmad2Nurul Fathiah Ghazali3School of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia; Corresponding author.School of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia; Sport Innovation and Technology Center (SITC), Institute of Human Centered Engineering (IHCE), Universiti Teknologi Malaysia, Johor Bahru, MalaysiaSchool of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaSchool of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaActivity 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, penalty corner and long corner was constructed as there are no existing field hockey datasets available. Experimental results indicate that the pre-trained deep learning model generates comparative results on this challenging dataset by tweaking the hyperparameters of this pre-trained model.http://www.sciencedirect.com/science/article/pii/S2405959520300114Sport video analysisDeep learningActivity recognition |
spellingShingle | Keerthana Rangasamy Muhammad Amir As’ari Nur Azmina Rahmad Nurul Fathiah Ghazali Hockey activity recognition using pre-trained deep learning model ICT Express Sport video analysis Deep learning Activity recognition |
title | Hockey activity recognition using pre-trained deep learning model |
title_full | Hockey activity recognition using pre-trained deep learning model |
title_fullStr | Hockey activity recognition using pre-trained deep learning model |
title_full_unstemmed | Hockey activity recognition using pre-trained deep learning model |
title_short | Hockey activity recognition using pre-trained deep learning model |
title_sort | hockey activity recognition using pre trained deep learning model |
topic | Sport video analysis Deep learning Activity recognition |
url | http://www.sciencedirect.com/science/article/pii/S2405959520300114 |
work_keys_str_mv | AT keerthanarangasamy hockeyactivityrecognitionusingpretraineddeeplearningmodel AT muhammadamirasari hockeyactivityrecognitionusingpretraineddeeplearningmodel AT nurazminarahmad hockeyactivityrecognitionusingpretraineddeeplearningmodel AT nurulfathiahghazali hockeyactivityrecognitionusingpretraineddeeplearningmodel |