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Investigate how to filter out moving background #2

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opened 2021-07-13 09:27:13 +02:00 by Yun · 1 comment
Yun commented 2021-07-13 09:27:13 +02:00
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There may still be noise caused by bright pixels moving in the background.

One idea is to use opencv to calculate dense optical flow for each frame and use the portions with close to no movement as an additional mask that gets applied to the image.
Another idea would be to use background subtraction against the previous frame.
calculation of these masks will probably need to be done before the main multiprocessing part.

There may still be noise caused by bright pixels moving in the background. One idea is to use opencv to calculate dense [optical flow](https://docs.opencv.org/master/d4/dee/tutorial_optical_flow.html) for each frame and use the portions with close to no movement as an additional mask that gets applied to the image. Another idea would be to use [background subtraction](https://docs.opencv.org/3.4/d1/dc5/tutorial_background_subtraction.html) against the previous frame. calculation of these masks will probably need to be done before the main multiprocessing part.
Yun commented 2021-07-16 20:09:18 +02:00
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Doesn't seem like this is that big of an issue with PaddleOCR

Doesn't seem like this is that big of an issue with PaddleOCR
Yun closed this issue 2021-07-16 20:09:19 +02:00
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Reference: pradana.aumars/videocr#2
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