The new Convolutional Neural Network (CNN) local feature extractor for automated badminton action recognition on vision based data
Automated action recognition is useful for improving the performance of the athletes through notational analysis. The notational analysis is usually used by the coach or notational analyst to study the movement patterns, strategy and tactics. Therefore, action recognition is the main key before furt...
Main Authors: | Rahmad, N. A., As'ari, M. A. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Institute of Physics Publishing
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/91247/1/MuhammadAmirAs%60Ari2020_ThenewConvolutionalNeuralNetwork.pdf |
Similar Items
-
Deep learning based Malaysian coins recognition for visual impaired person
by: Rosidi, Lina Suhaili, et al.
Published: (2022) -
Deep learning in sport video analysis: A review
by: Rangasamy, Keerthana, et al.
Published: (2020) -
Automated badminton smash recognition using convolutional neural network on the vision based data
by: Rahmad, N. A., et al.
Published: (2020) -
Automated knee bone segmentation and visualisation using mask RCNN and marching cube: Data from the osteoarthritis initiative
by: Patekar, Rahul, et al.
Published: (2022) -
A new method of vascular point detection using artificial neural network
by: Kaderi, Mohd Arifin, et al.
Published: (2012)