Open AccessApplication of Adaptive UKF Algorithm in Multi-target Tracking and Positioning System
Author(s) -
Guofang Liu,
Xiong Wang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2146/1/012005
Subject(s) - tracking (education) , computer science , range (aeronautics) , computer vision , tracking system , artificial intelligence , variable (mathematics) , algorithm , kalman filter , mathematics , engineering , psychology , mathematical analysis , pedagogy , aerospace engineering
Adaptive filtering algorithm (FIR) is a design method of adaptive variable target tracking system based on probability density distribution model. The algorithm realizes the target movement in the global range by estimating the parameters of different regions in the image, which improves the real-time performance and effectiveness.