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Motion Detection using Python and OpenCV  | Discount Coupon for Udemy Course
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Motion Detection using Python and OpenCV | Discount Coupon for Udemy Course

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Implement a vehicle counter and a social distancing detector using background subtraction algorithms! All step by step | Discount Coupon for Udemy Course

(0 ratings)
40 students
Published 3/2023Course Language EnglishCourse Caption English [Auto]Course Length 05:09:28 to be exact 18568 seconds!Number of Lectures 29
This course includes:
  • 5 hours hours of on-demand video
  • 2 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Motion detection is a sub-area of Computer Vision that aims to identify motion in videos or in real time. This type of application can be very useful, especially for security systems, in which it is necessary to detect suspicious movements such as a thief trying to enter the house. There are several other applications, such as: traffic analysis on highways, people detection/counting, animal tracking, cyclist counting, among others. A traffic control system can use these techniques to identify the number of cars and trucks that pass through the highway daily and at certain times, so then it is possible to carry out a road maintenance plan.In this course you will learn in practice how to use background subtraction algorithms to detect movements in videos, all step by step and using Python programming language! Check out the main topics you are going to learn, as well as the hands-on projects:Basic theoretical intuition about the following background subtraction algorithms: Temporal Median Filter, MOG (Mixture of Gaussians), GMG (Godbehere, Matsukawa and Goldbert), KNN (K Nearest Neighbors) and CNT (Count)Comparison of quality and performance of each algorithmPractical project 1: motion detector to monitor environmentsPractical project 2: social distancing detector to identify possible crowds of peoplePractical project 3: car and truck counter on highwaysAt the end of the course, you will be able to create your own motion detection projects!Who this course is for:People interested in implementing motion detectors or object countersUndergraduate and postgraduate students studying Computer Graphics, Digital Image Processing or Artificial IntelligenceData Scientists who want to increase their knowledge in Computer Vision

Course Content:

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2 Lectures | 07:09
17 Lectures | 03:09:20
9 Lectures | 01:51:02
1 Lectures | 01:57
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