Image Recognition Method for Pitching Fingers of Basketball Players Based on Symmetry Algorithm
In the basketball game, the accuracy and standardization of pitching are directly related to the score. So it is very important to analyze the pitching figure movement to have a better positioning of the fingers. There are limited techniques to recognize the movement. The human motion recognition me...
Main Author: | Wanquan Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
|
Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2021/2242222 |
Similar Items
-
Extraction and Recognition Method of Basketball Players’ Dynamic Human Actions Based on Deep Learning
by: Qiulin Wang, et al.
Published: (2021-01-01) -
Research on Basketball Goal Recognition Based on Image Processing and Improved Algorithm
by: Hangsheng Jiang
Published: (2021-01-01) -
Recognition of Basketball Player’s Shooting Action Based on the Convolutional Neural Network
by: Rui Liu, et al.
Published: (2021-01-01) -
Estimation of playable piano fingering by pitch-difference fingering match model
by: Guan, X., et al.
Published: (2022) -
Bilateral Symmetry of Jumping and Agility in Professional Basketball Players: Differentiating Performance Levels and Playing Positions
by: Sime Versic, et al.
Published: (2021-07-01)