Simulation of Tennis Match Scene Classification Algorithm Based on Adaptive Gaussian Mixture Model Parameter Estimation
This paper presents an in-depth analysis of tennis match scene classification using an adaptive Gaussian mixture model parameter estimation simulation algorithm. We divided the main components of semantic analysis into type of motion, distance of motion, speed of motion, and landing area of the tenn...
Saved in:
| Main Authors: | Yuwei Wang, Mofei Wen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/3563077 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Expectation-Maximization Algorithm of Gaussian Mixture Model for Vehicle-Commodity Matching in Logistics Supply Chain
by: Qi Sun, et al.
Published: (2021-01-01) -
Influence of the outliers to the classification of multidimensional Gaussian mixtures
by: Gintautas Jakimauskas
Published: (2001-12-01) -
Retracted: Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis
by: null Complexity
Published: (2024-01-01) -
Water-Adapted 3D Gaussian Splatting for precise underwater scene reconstruction
by: Xinnan Fan, et al.
Published: (2025-05-01) -
Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures
by: Nishchal K. Verma
Published: (2012-01-01)