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Computer Vision with Python 3 by Saurabh Kapur

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Summary

In this chapter, we looked at how to process videos. We started with performing basic operations on videos such as reading/writing. Then, we looked at color space conversion. Along the same lines, the reader can write programs to resize a video, make video with only the edges of a video, and more. Then, we finally looked at tracking objects in a video. First we looked at a very basic technique of tracking objects based on the color, then we looked at more sophisticated techniques such as the Kernelized Correlation Filter and Lucas-Kanade Tracker.

In the next chapter, we will look at how we can build a computer vision service that provides users with the ability to apply computer vision techniques over an image by not actually writing ...

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