Basketball Action Recognition Method of Deep Neural Network Based on Dynamic Residual Attention Mechanism

Basketball Action Recognition Method of Deep Neural Network Based on Dynamic Residual Attention Mechanism

Aiming at the problem that the features extracted from the original C3D (Convolutional 3D) convolutional neural network(C3D) were insufficient, and it was difficult to focus on keyframes, which led to the low accuracy of basketball players’ action recognition; hence, a basketball action recognition...

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Bibliographic Details
Main Authors: Jiongen Xiao, Wenchun Tian, Liping Ding
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Information
Subjects:
behavior recognition
deep learning
C3D convolution
residual network
attention mechanism
Online Access:https://www.mdpi.com/2078-2489/14/1/13

Internet

https://www.mdpi.com/2078-2489/14/1/13

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