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Building Computer Vision Projects with OpenCV 4 and C++
book

Building Computer Vision Projects with OpenCV 4 and C++

by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
March 2019
Intermediate to advanced
538 pages
13h 38m
English
Packt Publishing
Content preview from Building Computer Vision Projects with OpenCV 4 and C++

What happened in the code?

Let's quickly go through the code and see what's happening there. We use the Mixture of Gaussians model to create a background subtractor object. This object represents the model that will be updated as and when we encounter new frames from the webcam. We initialized two background subtraction models—BackgroundSubtractorMOG and BackgroundSubtractorMOG2. They represent two different algorithms that are used for background subtraction. The first one refers to the paper by P. KadewTraKuPong and R. Bowden, titled An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection. You can check it out at http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf. The second ...

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Publisher Resources

ISBN: 9781838644673Supplemental Content