October 2016
Intermediate to advanced
558 pages
12h 39m
English
Content preview from OpenCV: Computer Vision Projects with Python
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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:
If you run it through ...
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