The demos were presented in this order:
1. MatchCard.m - Showed how to recognize specific objects in a scene using SURF features.
2. FacePeopleDetection.m - Showed object detectors available in Computer Vision System Toolbox (vision.CascadeObjectDetector and vision.PeopleDetector).
3. visionfacetrackingKLT - Showed vision.PointTracker, which uses the Kanade-Lucas-Tomasi (KLT) algorithm.
4. ForegroundDetection.m - Showed vision.ForegroundDetector, configureKalmanFilter, and vision.KalmanFilter.
In the webinar, I also showed the demo "multiObjectTracking", which ships with Computer Vision System Toolbox
Bruce Tannenbaum (2022). January 2013 "Computer Vision with MATLAB" webinar demo files (https://www.mathworks.com/matlabcentral/fileexchange/40079-january-2013-computer-vision-with-matlab-webinar-demo-files), MATLAB Central File Exchange. Retrieved .
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