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Update type: By specifying «Accurate (grayscale)» or «Accurate (color)» as background update type, it is
possible to use a state of the art self learning algorithm for extracting the foreground mask. The «grayscale»
version uses only the Y color channel, while the «color» version uses all the channels; of course, the first is
more efficient, while the second is more effective. Moreover, the shadow removal can be enabled only with
the color version.
Morphological filtering
Fig. 13: Morphological filtering
Application of morphological erosion, dilation and another erosion operators to improve the foreground
mask
Enable erosion (noise filtering): eliminates the spurious white pixels caused by noise
Enable dilation: fills holes and reinforces the union of weakly connected regions.
Enable erosion: allows to recover the original size of the objects.
It is possible to choose the shape of the kernel to be used (rectangular, diamond, octagon, disk), as well as
the dimension in terms of width and height (rectangular) or radius (diamond, octagon, disk).
AI-Dashboard embedded for data management
AI-Dash - Administrator parameters
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