(Udemy) Motion Detection using Python and OpenCV (Jones Granatyr)

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About Course

Learn how to detect motion in videos using Python and OpenCV with this free course. This course, offered on Udemy, will teach you how to implement background subtraction algorithms for motion detection, including Temporal Median Filter, MOG, GMG, KNN, and CNT. You will also learn about the strengths and weaknesses of each algorithm and put your knowledge to the test with practical projects that involve monitoring environments, detecting social distancing violations, and counting vehicles on highways.

This free course will cover:

  • The fundamentals of motion detection in computer vision
  • Background subtraction algorithms: Temporal Median Filter, MOG, GMG, KNN, and CNT
  • Practical project: motion detector to monitor environments
  • Practical project: social distancing detector
  • Practical project: car and truck counter on highways

By the end of the course, you will have the skills to create your own motion detection projects.

This course is completely free and available on Theetay. Theetay offers a wide variety of free courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.

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What Will You Learn?

  • Understand the basic intuition about background subtraction applied to motion detection
  • Implement MOG, GMG, KNN and CNT algorithms using OpenCV, as well as compare their quality and performance
  • Improve the quality of the results using pre-processing techniques such as morphological operations and blurring
  • Implement a motion detector for monitoring environments
  • Implement a social distancing detector
  • Implement a car and truck counter using highway videos

Course Content

Introduction

  • A Message from the Professor
  • Course content
    07:06

Background Subtraction

Practical Projects

Final Remarks

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