Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching
The original target tracking algorithm based on a single model has long been unable to meet the complex and changeable characteristics of the target, and then there are problems such as poor tracking accuracy, target loss, and model mismatch. The interactive multimodel algorithm uses multiple motion...
Saved in:
Main Authors: | Xi Du, Qi Ao, Lu Qi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/2993675 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using Camshift and Kalman Algorithm to Trajectory Characteristic Matching of Basketball Players
by: Shuang Liang, et al.
Published: (2021-01-01) -
Retracted: Using Camshift and Kalman Algorithm to Trajectory Characteristic Matching of Basketball Players
by: null Complexity
Published: (2023-01-01) -
Complementarity-Oriented Feature Fusion for Face-Phone Trajectory Matching
by: Changfeng Cao, et al.
Published: (2025-01-01) -
Identification of Multimodel LPV Models with Asymmetric Gaussian Weighting Function
by: Jie You, et al.
Published: (2013-01-01) -
A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US
by: Vladimir M. Krasnopolsky, et al.
Published: (2012-01-01)