Video Analytics using OpenCV and Python Shells
Through this training we shall understand and learn how to perform video analytics with OpenCV.
What you’ll learn
- Understand and learn how to perform video analysis with OpenCV.
- Learn Color Models, Image Loading and Image Thresholding
- Master Open CV and Object Detection
Requirements
- Basic knowledge of Python
- Beginner knowledge of Statistics
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. Python Shells Python Shells
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 this course is for:
- Students and professionals who are interested in learning robotics and biometrics.
- People who are very keen about learning Video analytics
