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OpenCV with Python By Example by Prateek Joshi

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Colorspace based tracking

Frame differencing gives us some useful information, but we cannot use it to build anything meaningful. In order to build a good object tracker, we need to understand what characteristics can be used to make our tracking robust and accurate. So, let's take a step in that direction and see how we can use colorspaces to come up with a good tracker. As we have discussed in previous chapters, HSVcolorspace is very informative when it comes to human perception. We can convert an image to the HSV space, and then use colorspacethresholding to track a given object.

Consider the following frame in the video:

Colorspace based tracking

If you run it through ...

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