Video and Optical Flow – Create a Smart Speed Camera

Discover how to detect objects in videos and track their speed as you master the core concepts underpinning optical flow with Python.

$50

$50
Includes:
  • 2.3 Hours of Video
  • Certificate of Completion
  • Project Files
  • Closed Captions
Join 400,000 Satisfied Students
$50

Benefits

  • On-demand, 24/7 access
  • 2.3 hours of video
  • Certificate of completion
  • Project files and PDF notes
  • Closed captions

Overview

This title is part of the Python Computer Vision Mini-Degree

In this course we’ll build an app that tracks object through video and can determine their speed. Our application will be able to capture point in our object and track their position in real-time. Speed reading will be shown on the video.


The big topics we’ll be covering is optical flow, which is what allow us to track points in video. We’ll cover camera intrinsics to understand more in depth how our camera works. We’ll visualize the speed and path using visual optical flow patterns. This course uses Python 3.

About the Python Computer Vision Mini-Degree

The Python Computer Vision Mini-Degree is an on-demand curriculum featuring 8 professional-grade courses that are suitable for beginners and more advanced developers alike. This innovative program will teach you how to code in Python, master the fundamentals of Numpy, and understand the core concepts underlying computer vision, including how images are represented and can be manipulated, pattern detection, and video and optical flow.

With such an understanding of these powerful technologies, you’ll be prepared to take on the world as a well-informed and highly prepared developer.

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Curriculum

Requirements

    Basic to intermediate Python skills.

    It is recommended to take this course as part of the Python Computer Vision Mini-Degree, which includes 8 courses on the fundamentals of coding with Python, and teaches core concepts in computer vision.

Discover how to detect objects in videos and track their speed as you master the core concepts underpinning optical flow with Python.

  • On-demand, 24/7 access
  • 2.3 hours of on-demand video
  • Certificate of completion
  • Closed captions

$50

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