Sobel edge detection is a popular technique as it can deliver good results, without excessive computational requirements. The technique utilises the theory of optimal smoothing (Gaussian), and optimal differencing.

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The Hough Transform (HT) is an image processing operation which enables the extraction of shapes, essentially lines from images. The principle is that there are an infinite number of line that pass though any point, each at a different orientation. The HT aims to determine which of those theoretical lines pass though most features in an image.

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Now that I have background monitor working, updating a background image every 60 seconds (a default value), I want to start monitoring the foreground. For these two processes to work at the same time I want to use threads for each one, using the threading module in Python. read more...