Python OpenCV Motion Detection

Offered By
Coursera Project Network
In this Guided Project, you will:

Learn how to do background and foreground segmentation.

Learn how to do background subtractraction.

Learn how to detect movement and track a moving object.

Clock1 hour
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

This guided project is about motion detection using Python opencv. This comes under the computer vision domain. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Features: 1) Learn how to detect and track moving objects. 2) The basics taught in this project are applied in all computer vision applications such as object detection, object tracking and more. 3) Use of visual aids such as videos and images for better explaination. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

OpencvComputer VisionPython ProgrammingMachine Learning

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Construct argument parser.

  2. Resize and convert to grayscale

  3. Gaussian blurring

  4. Absolute difference and thresholding.

  5. Contouring

  6. Closing the window.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.