Machine Learning-Based Multitarget Tracking of Motion in Sports Video
In this paper, we track the motion of multiple targets in sports videos by a machine learning algorithm and study its tracking technique in depth. In terms of moving target detection, the traditional detection algorithms are analysed theoretically as well as implemented algorithmically, based on whi...
Saved in:
Main Authors: | Xueliang Zhang, Fu-Qiang Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/5533884 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Deep Learning-Based Multitarget Motion Shadow Rejection and Accurate Tracking for Sports Video
by: null Complexity
Published: (2023-01-01) -
Adaptive Recognition of Motion Posture in Sports Video Based on Evolution Equation
by: Rui Yuan, et al.
Published: (2021-01-01) -
Multitarget Pedestrian Tracking Algorithm Based on a Contour Template with Multiscale Stability
by: Hui Liu, et al.
Published: (2022-01-01) -
Research on Moving Target Detection and Tracking Technology in Sports Video Based on SIFT Algorithm
by: Zhu Mei, et al.
Published: (2022-01-01) -
Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets
by: Xianghui Yuan, et al.
Published: (2013-01-01)