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Video Analytics Using OpenCV and Python Shells

Through this training we shall understand and learn how to perform video analysis with OpenCV.

What you’ll learn

Requirements

  • Basic knowledge of Python

Description

OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces. Computer vision applications and technology are blowing up right now! With several apps and industries making amazing use of the technology.

Through this training we shall understand and learn how to perform video analysis with OpenCV.

The training will include the following;

Object detection

  • Color models- HSL model, HSV model, RGB model
  • Image loading
  • Image thresholding
  • Blob detection

Motion Detection

  • Capture video from video
  • Capture video from video file
  • Background subtraction
  • Saving video
  • Colorspace based tracking
  • Camshift algorithm
  • Optical flow based tracking
  • Face detection
  • Contour based tracking

Who is the target audience?

  • Beginner knowledge of Statistics

Created by EDU CBA
Last updated 10/2018
English
English [Auto-generated]

Size: 1.36 GB

 

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