OpenCV is a widely used open-source library for real-time computer vision, and this video course builds practical skill with it through real examples rather than abstract theory, whether you're brand new to computer vision or already have a basic grounding.
Where the course starts
After installing OpenCV and covering the basics of image processing, the course moves quickly into applied work like optical flow video analysis and text recognition in complex scenes, introducing common computer vision techniques along the way.
What you'll be able to do
- Set up OpenCV 3 and the CMake scripts needed to compile and manage a C++ application
- Work with matrix operations, filters, and histograms
- Apply segmentation and feature extraction, and remove backgrounds to detect moving objects for video surveillance
- Track objects across live video and detect or recognize text using Tesseract
