Course Overview
2h 13m | 29 Videos | 55964 Views | 
Intermediate Video Analytics Using Opencv and Python Shells:
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.
wbcr_snippet
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
Target Customers:
- Students and professionals who are interested in learning robotics and biometrics.
- People who are very keen about learning Video analytics
Pre-Requisites:
- Basic knowledge of Python
- Beginner knowledge of Statistics
