Youtube üzerinden ilgili video eğitimlere ulaşabilirsiniz.

There are three examples in the repository.

• Haar Cascade - Object detection face and eye etc.
• Color Detection - Object detection and tracking using object color.
• Template Matching - Object detection with template matching.

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.

Requirements

• OpenCV 3.x Version
• Java >6 Version

Face and eye detection by the camera using haar cascade algorithm. Video

An example of an application where OpenCV is used to detect objects based on color differences.

Requirements

• OpenCV >2.x Version
• Java >6 Version

Template matching is a technique for finding areas of an image that match (are similar) to a template image (patch).

Requirements

• OpenCV 3.x Version
• Java >6 Version

My blog post for template matching.