Udemy – Motion Detection using Python and OpenCV 2023-3

Udemy – Motion Detection using Python and OpenCV 2023-3 Downloadly IRSpace

Apr 17, 2025 - 12:24 Updated: Apr 24, 2025 - 15:20

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Udemy – Motion Detection using Python and OpenCV 2023-3

Motion Detection using Python and OpenCV is a complete tutorial for step-by-step implementation of a vehicle counter and a social distance detector. Motion detection is a subfield of computer vision that aims to detect motion in videos or in real time. This type of application can be very useful especially for security systems in which suspicious movements such as a thief trying to enter the house should be identified. There are several other applications such as: highway traffic analysis, people detection/counting, animal tracking, cyclist counting, etc. A traffic control system can use these techniques to identify the number of cars and trucks crossing the highway at certain times of the day, so road maintenance can be planned.

What you will learn in this course:

Basic understanding of background subtraction applied to motion detection
Implementation of MOG, GMG, KNN and CNT algorithms using OpenCV and also comparing their quality and performance
Improve the quality of the results by using pre-processing techniques such as morphological operations and blurring
Implement a motion detector to monitor environments
Run the social distancing tracker
Implement car and truck counters using highway videos

Who is this course for:

People interested in implementing motion detectors or object counters
Bachelor’s and Master’s students in computer graphics, digital image processing or artificial intelligence
Data scientists who want to increase their knowledge in computer vision