First, it was important that we get the background model of the image sequence. To get the background model, we took a number of frames in the image sequence, converted it to grayscale, and computed the median of the grayscale pixels.
Background Model |
Next, this background model was subtracted to every frame in the image sequence. The difference per pixel is then compared to the given threshold. If the difference is greater than the threshold, it is assigned as a foreground pixel. Else, it is a background pixel.
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