Pedestrian Tracking By Using Kalman Filter

version 1.0.1 (9.73 MB) by Abolfazl Nejatian
A Kalman Filter-Based Estimator for pedestrian tracking


Updated Fri, 26 Feb 2021 19:19:26 +0000

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Hey everyone,
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.

Cite As

Abolfazl Nejatian (2022). Pedestrian Tracking By Using Kalman Filter (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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