In this article, I am going to explain how we can do motion detection with  OpenCV and Python. Before starting you must be clear about the advantages of artificial vision and how we can start programming and developing our own artificial vision applications. The first step is to prepare the system, using  Anaconda Navigator and installing the OpenCV library for Python.

Motion detection with OpenCV and Python

In many applications based on  machine vision, motion detection is used. For example, when we want to count the people who pass by a certain place or how many cars have passed through a toll. In all these cases, the first thing we have to do is extract the people or vehicles that are at the scene.

There are different techniques, methods, or algorithms that enable motion detection. As in other subjects, there are no generic cases in artificial vision. It will depend on each situation to use one or the other. Let us have a look at some methods used in OpenCV and  Computer Vision.

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