2D Target tracking using Kalman filter

This Demo shows tracking target and prediction next position using kalman filter
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Aggiornato 4 mag 2016

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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

Cita come

Alireza (2025). 2D Target tracking using Kalman filter (https://it.mathworks.com/matlabcentral/fileexchange/14243-2d-target-tracking-using-kalman-filter), MATLAB Central File Exchange. Recuperato .

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Versione Pubblicato Note della release
1.1.0.0

BSD License

1.0.0.0