Highlights: In this post, we will review some simple tracking methods. First, we will introduce several types of visual tracking methods. Then, we will explain how we can classify them. We will also talk about the fundamental aspects of direct visual tracking, with a special focus on region-based methods and gradient-based methods. In future post series, we will provide a detailed mathematical derivation of the Lucas Kanade framework with a focus on image alignment. Finally,…
Read more

Highlights: In this post, we will show how we can detect moving objects in a video using the Lucas Kanade method. This approach is based on tracking a set of distinctive feature points. Therefore, it is also known as a Sparse Optical Flow method. We will give a detailed theoretical understanding of the Lucas Kanade method and show how it can be implemented in Python using OpenCV. Tutorial overview: Understanding the Concept of Motion Optical…
Read more

Highlights: In this post, we’re going to talk about template matching which is probably the simplest form of object detection. Template matching is a technique in digital image processing that identifies the parts of an image that match a predefined template. It has various applications and is used in such fields as face and speech recognition, automation, and motion estimation. So, let’s begin with our post and see how template matching works in Python. Tutorial…
Read more