The first just does detection by background subtraction. This can be considered as the ground truth.
The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter (red) is compared against the actual ground truth position (green).
Toby Breckon,
http://www.inf.ed.ac.uk
引用格式
Alireza (2024). 2D Target tracking using Kalman filter (https://www.mathworks.com/matlabcentral/fileexchange/14243-2d-target-tracking-using-kalman-filter), MATLAB Central File Exchange. 检索来源 .
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R2006b
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