You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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
Cite As
Bruce Tannenbaum (2026). 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 .
General Information
- Version 1.0.0.1 (413 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
