Our world contains a lot of objects. Each type of object has its own features that distinguish it from some types and, at the same time, make it similar to others. Understanding the scene through the objects in it is a key task in computer vision. Being able to find and track various objects, detect basic patterns and complex structures, and recognize text are challenging and useful skills, and this chapter addresses questions on how to implement and use them with OpenCV functionality.
We will review the detection of geometric primitives, such as lines, circles, and chessboards, and more complex objects, such as pedestrians, faces, AruCo, and QR code patterns. We will also perform object tracking tasks.
