In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection. You’ll also use optical flow to detect motion and use the results to detect moving objects.
Object Tracking and Motion Detection with Computer Vision
This course is part of multiple programs.
Instructors: Amanda Wang
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What you'll learn
Use pre-trained deep neural networks like YOLO to perform object detection
Use optical flow to detect motion & moving objects
Perform multi-object tracking to count, track, & determine the direction of objects
Skills you'll gain
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There are 4 modules in this course
What's included
4 videos5 readings1 assignment1 app item2 discussion prompts
What's included
3 videos3 readings2 assignments2 app items
What's included
3 videos2 readings2 assignments1 discussion prompt
What's included
3 videos4 readings1 quiz3 assignments1 discussion prompt1 plugin
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Reviewed on Mar 12, 2024
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Frequently asked questions
Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.
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When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.