Description: This function (trainClassifierExample.m) is a tutorial/example on how to create a user-defined vision.CascadeObjectDetector detector. This function uses an attached webcam to take video of a user and builds a detector on their face. From this example hopefully it is clear how to generate detectors for any general object class. Faces are used in this example since the labeling can be done autonomously using a pre-trained face detector
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File list (Check if you may need any files):
Train Classifier\labelPositiveExamples.m
................\testClassifier.m
................\trainClassifierExample.m
................\takeSnapshots.m
license.txt