Object tracking with data under Colored Measurement Noise (CMN)
Eli G. Pale-Ramón, Yuriy S. Shmaliy, Luis Javier Morales-Mendoza, Mario González-Lee, Jorge A. Ortega-Contreras, Karen J. Uribe-Murcia · Frontiers in Optics + Laser Science 2022 (FIO, LS) · 2022
This work presents an object tracking process using Kalman and UFIR filters, standard and modified for Colored Measurement Noise (CMN). UFIR CMN showed favorable results with no ideal conditions, and KF CMN for ideal conditions.