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.

 

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  • 2.3 Hours of Video
  • Certificate of Completion
  • Source Code
  • Closed Captions
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  • On-demand, 24/7 access
  • 2.3 hours of video
  • Certificate of completion
  • Source code and PDF notes
  • Closed captions

Overview

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.

Frameworks and tools covered: Python 3.6 (updated for Python 3.7), Anaconda 5.2, NumPy 1.16, OpenCV-Python 3.4.2

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Lessons

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.

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