Open Access Open Access  Restricted Access Subscription Access

Research on the Application of Behavioral Image Feature Capture in Basketball Game Video

Yan Zhang,
Wei Wei,


In order to realize intelligent image recognition of foul behavior in basketball games, this paper designs a feature capture method of video foul behavior based on improved bilateral filtering algorithm. Adaptive bilateral filtering is used to denoise the video image, and the optical flow feature and HOG feature of the behavior in the denoised image are obtained by image combination feature extraction method, which is fused to a combined eigenvector. The combined features were taken as the target recognition samples, and the multi-back propagation neural network was used to identify the foul behavior features. The particle filter was used to capture the video features and identify the location of the video behavior features. The experimental results show that this method can accurately capture the changes of video behavior characteristics, and has applicable performance in the identification of foul behavior in basketball matches.


Bilateral filtering algorithm, Behavioral characteristics, Multiple BP neural networks, Particle filter, Optical flow

Citation Format:
Yan Zhang, Wei Wei, "Research on the Application of Behavioral Image Feature Capture in Basketball Game Video," Journal of Internet Technology, vol. 25, no. 1 , pp. 157-165, Jan. 2024.

Full Text:



  • There are currently no refbacks.

Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
JIT Editorial Office, Office of Library and Information Services, National Dong Hwa University
No. 1, Sec. 2, Da Hsueh Rd., Shoufeng, Hualien 974301, Taiwan, R.O.C.
Tel: +886-3-931-7314  E-mail: