Video Analytics Using OpenCV and Python Shells

By FCS On Nov 15, 2018

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

What you’ll learn

Students and professionals who are interested in learning robotics and biometrics.
People who are very keen about learning Video analytics

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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https://www.udemy.com/video-analytics-using-opencv-and-python-shells/.