Detect and Track Multiple Faces
Updated 1 Sep 2016
This is a simple system for detecting and tracking multiple faces from live video. It uses the Computer Vision System Toolbox and the Webcam Support Package. The system detects faces using the Viola-Jones algorithm, detects min-eigen corners within each face's bounding box, and tracks the corners using the Kanade-Lucas-Tomasi (KLT) algorithm. It re-detects the faces every 10 frames in order to correct the tracker and replenish the points.
Dima Lisin (2023). Detect and Track Multiple Faces (https://www.mathworks.com/matlabcentral/fileexchange/47105-detect-and-track-multiple-faces), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Object Detection Using Features > Face Detection >
- Image Processing and Computer Vision > Computer Vision Toolbox > Computer Vision Toolbox Supported Hardware >
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