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OpenCV By Example by Vinícius Godoy, David Millán Escrivá, Prateek Joshi

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Summary

In this chapter, we learned about the algorithms that are used for background modeling and morphological image processing. We discussed naïve background subtraction and its limitations. We learned how to get motion information using frame differencing and how it can be constrain us when we want to track different types of objects. We also discussed Mixture of Gaussians, along with its formulation and implementation details. We then discussed morphological image processing. We learned how it can be used for various purposes and different operations were demonstrated to show the use cases.

In the next chapter, we will discuss how to track an object and the various techniques that can be used to do it.

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