I'm using webcams for live inputs of club gigs, and would like to reduce the white noise. Is infrared a good solution?

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I’m using the cameras to input footage of the crowd dancing with an edge and threshhold plus trailing delay, etc. I like how it looks, but I’m also picking up a ton of background noise from the back walls, etc., it shows up basically as static and I’d love to have just the outlines of the dancers.

Here’s a still shot of what I’m talking about, particularly dense noise in the foreground ibn this case: clubcam-pic hosted at ImgBB — ImgBB

Has anyone encountered this and found a workaround? Is there a way to reduce the depth of field for the webcams? I know of some background-removal techniques like using Chroma Key and Cache tops, and I’ll try that, but the background of the venue is not blank, there will always be light and movement and different colurs in the background.

I was considering night vision/infared cameras with a much tighter threshhold setting in TD to try and pick up clearer outlines of the dancers only, but it could be the case that this would worsen the problem as the club will still have some internal lighting that the cameras might be sensitive to.

If anyone has come across this issue and/or can think of a possible workaround, I’d love to hear it. Thanks for reading!

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Infrared can be a solution but you need a capable IR camera (possible on some cameras suppressing the IR filter) and IR light (you can find cheap LED ones).
But you doesn’t eliminate noise and background.
You can take a ‘picture’ of the empty space with cache TOP and eliminate it with glsl TOP
If the field of view and the distance limitation suits you, you can use a kinect point ccloud with the same technic to eliminate background.

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Thanks a lot! I’ll look into using a kinect instead