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Hi, I'd like to make background segmentation as a first step in my processing pipeline, but I want it to be lightweight and somehow resistant to lighting conditions. I want to find possible regions of interest which I should process with other heavy algorithms.

From tests on my ARM cpu, MOG2 is quite slow and I want to use it later in the stage. Also I don't want to update bg in each frame.

Absdiff and thresholding is fast, but I don't know how to make it more resistant to change of lightning. Any ideas? It doesn't have to be great, but it should improve the results.

I think that periodic bg mask update is not possible in my scenario.

Hi, I'd like to make background segmentation as a first step in my processing pipeline, but I want it to be lightweight and somehow resistant to lighting conditions. I want to find possible regions of interest which I should process with other heavy algorithms.

From tests on my ARM cpu, MOG2 is quite slow and I want to use it later in the stage. Also I don't want to update bg in each frame.

Absdiff and thresholding is fast, but I don't know how to make it more resistant to change of lightning. Any ideas? It doesn't have to be great, but it should improve the results.

I think that periodic bg mask update is not possible in my scenario.

Hi, I'd like to make background segmentation as a first step in my processing pipeline, but I want it to be lightweight and somehow resistant to lighting conditions. I want to find possible regions of interest which I should process with other heavy algorithms.

From tests on my ARM cpu, MOG2 is quite slow and I want to use it later in the stage. Also I don't want to update bg in each frame.

Absdiff and thresholding is fast, but I don't know how to make it more resistant to change of lightning. changes in illumination. Any ideas? It doesn't have to be great, but it should improve the results.

I think that periodic bg mask update is not possible in my scenario.

Should I take mean or median of N first frames as a bg mask?

Hi, I'd like to make background segmentation as a first step in my processing pipeline, but I want it to be lightweight and somehow resistant to lighting conditions. I want to find possible regions of interest which I should process with other heavy algorithms.

From tests on my ARM cpu, MOG2 is quite slow and I want to use it later in the stage. pipeline. Also I don't want to update bg in each frame.

Absdiff and thresholding is fast, but I don't know how to make it more resistant to changes in illumination. Any ideas? It doesn't have to be great, but it should improve the results.

I think that periodic bg mask update is not possible in my scenario.

Should I take mean or median of N first frames as a bg mask?