Image processing method using foreground probability
First Claim
Patent Images
1. An image processing method comprising:
- (a) determining whether a pixel of an input image is a pixel of a foreground image or a pixel of a background image by using a Gaussian mixture model;
(b) determining whether the pixel of the input image is included in a motion region;
(c) obtaining a foreground probability value of the pixel of the input image according to a foreground probability histogram with respect to a correlation between the input image and a reference image of the input image; and
(d) determining the pixel of the input image as the pixel of the foreground image if the foreground probability value of the pixel of the foreground image determined as the pixel of the foreground image at operation (a) or the foreground probability value of the pixel determined to be included in the motion region at operation (b) is greater than a setting threshold.
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Abstract
An image processing method of separating an input image into a foreground image and a background image, the method including determining a pixel of the input image as a pixel of the foreground image if a foreground probability value of the pixel of the foreground image determined by using the Gaussian mixture model or the pixel determined to be included in a motion region is greater than a setting threshold.
17 Citations
20 Claims
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1. An image processing method comprising:
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(a) determining whether a pixel of an input image is a pixel of a foreground image or a pixel of a background image by using a Gaussian mixture model; (b) determining whether the pixel of the input image is included in a motion region; (c) obtaining a foreground probability value of the pixel of the input image according to a foreground probability histogram with respect to a correlation between the input image and a reference image of the input image; and (d) determining the pixel of the input image as the pixel of the foreground image if the foreground probability value of the pixel of the foreground image determined as the pixel of the foreground image at operation (a) or the foreground probability value of the pixel determined to be included in the motion region at operation (b) is greater than a setting threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An image processing method of receiving an image from a surveillance camera for capturing an inside of a closed space having a door to an outside, determining whether each pixel of the received image is a pixel of a foreground image or a pixel of a background image, and separating the received image into the foreground image and the background image, the method comprising:
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(a) determining whether a pixel of the received image is a pixel of a foreground image or a pixel of a background image by using a Gaussian mixture model; (b) determining whether the pixel of the received image is included in a motion region; (c) obtaining a foreground probability value of the pixel of the received image according to a foreground probability histogram with respect to correlation between the received image and a reference image of the received image; (d) if the foreground probability value of the pixel of the foreground image determined as the pixel of the foreground image or the foreground probability value of the pixel determined to be included in the motion region is greater than a setting threshold, obtaining a foreground-information binary number “
1”
as a first foreground determination value of the pixel of the received image, and, if the foreground probability value is not greater than the setting threshold, obtaining a background-information binary number “
0”
as the first foreground determination value;(e) determining whether the door of the closed space is open or closed; (f) if the door of the closed space is open, setting an auxiliary foreground determination value in the same way as the first foreground determination value, and, if the door of the elevator is closed, obtaining a final foreground determination value of a previous image and the auxiliary foreground determination value set based on the first foreground determination value; and (g) if a result obtained by multiplying the auxiliary foreground determination value and the foreground probability value is greater than a final threshold, obtaining a final foreground determination value as the foreground-information binary number “
1”
, and, if the result is not greater than the final threshold, obtaining the final foreground determination value as the background-information binary number “
0”
. - View Dependent Claims (11, 12, 13, 14, 15)
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16. An image processing method comprising:
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(a) determining whether a pixel of an input image is a pixel of a foreground image or a pixel of a background image; (b) determining whether the pixel is included in a motion region of the input image; (c) obtaining a foreground probability value of the pixel according to a foreground probability histogram with respect to a correlation between the input image and a reference image of the input image; and (d) determining that the pixel is included in the foreground image if the foreground probability value of the pixel determined as the pixel of the foreground image at operation (a) or the pixel determined to be included in the motion region at operation (b) is greater than a setting threshold. - View Dependent Claims (17, 18, 19, 20)
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Specification