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There are three examples in the repository.
Source code location: src/FaceAndEyeDetection/
Object detection examples with haar cascade classifier algorithm (Face, eyes, mouth, other objects etc.). Cascade Classifier Training http://docs.opencv.org/3.1.0/dc/d88/tutorial_traincascade.html
What is Haar cascade? Haar cascade classifier Object Detection using Haar feature-based cascade classifiers is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images.
Face and eye detection by the camera using haar cascade algorithm.
Source code location: src/ColorBasedObjectTracker/
An example of an application where OpenCV is used to detect objects based on color differences.
Source code location: src/TemplateMatchingObjectDetection/
Template matching is a technique for finding areas of an image that match (are similar) to a template image (patch).
My blog post for template matching.
Source code location: src/DeepNeuralNetwork/
In this tutorial you will learn how to use opencv dnn module for image classification by using MobileNetSSD_deploy trained network. My blog post for deep neural network.