This work presents an implementation of a vision-based system for recognizing pedestrian(s) precisely localizing them with the use of a Kalman filter estimator configured as a tracker in Matlab.
finally, the difference between the estimation and the real label evaluated as the estimation error.
Abolfazl Nejatian (2022). Pedestrian Tracking By Using Kalman Filter (https://www.mathworks.com/matlabcentral/fileexchange/87929-pedestrian-tracking-by-using-kalman-filter), MATLAB Central File Exchange. Retrieved .
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