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so, you get the fg mask.

fgmask = bgs_mog.apply(frame)

now this is an 8bit 1channel mat. to apply it to the frame (rgb) image, we need to convert the mask to rbg, too:

mask_rbg = cv2.cvtColor(fgmask,cv2.COLOR_GRAY2BGR)

then we can "and" it into a drawing image:

draw = frame & mask_rbg

the whole thing, again:

import cv2
import numpy as np

winname = "GRS"
bgs_mog = cv2.BackgroundSubtractorMOG(500, 6, 0.2, .1)
capture = cv2.VideoCapture(0)

if __name__ == "__main__":
    while capture.isOpened():
        _,frame = capture.read()
        fgmask = bgs_mog.apply(frame)
        mask_rbg = cv2.cvtColor(fgmask,cv2.COLOR_GRAY2BGR)
        draw = frame & mask_rbg
        cv2.imshow(winname, draw)
        c = cv2.waitKey(1)
        if c == 27:
            break
    cv2.destroyAllWindows()

so, you get the fg mask.

fgmask = bgs_mog.apply(frame)

now this is an 8bit 1channel mat. to apply it to the frame (rgb) image, we need to convert the mask to rbg, too:

mask_rbg = cv2.cvtColor(fgmask,cv2.COLOR_GRAY2BGR)

then we can "and" it into a drawing image:

draw = frame & mask_rbg

the whole thing, again:

import cv2
import numpy as np

winname = "GRS"
bgs_mog = cv2.BackgroundSubtractorMOG(500, 6, 0.2, 0.9, .1)
capture = cv2.VideoCapture(0)

if __name__ == "__main__":
    while capture.isOpened():
        _,frame = capture.read()
        fgmask = bgs_mog.apply(frame)
        mask_rbg = cv2.cvtColor(fgmask,cv2.COLOR_GRAY2BGR)
        draw = frame & mask_rbg
        cv2.imshow(winname, draw)
        c = cv2.waitKey(1)
        if c == 27:
            break
    cv2.destroyAllWindows()