Motion Detection
Explore how to detect motion in video streams by analyzing differences between consecutive grayscale frames using Python. Understand frame capture, pixel array manipulation with NumPy, and how to apply thresholding to identify motion events. This lesson equips you to implement real-time motion detection in image and video processing projects.
We'll cover the following...
How to detect motion using frames
In this lesson, we’ll detect motion in a video using two consecutive frames and finding the differences between them. If the difference is minor, that means no motion occurred. If we find a significant difference between frames, then a motion must have occurred.
Look at lines 1–10 of the code block below. In this code, we’re creating a video capture instance. Then we’ll read the last and the current frames and convert them to grayscale in lines 13–15.
Here we’ll read two frames and convert them to grayscale. It might seem like we’re doing this outside the while ...