Video segmentation using statistical pixel modeling
First Claim
Patent Images
1. A two-pass method of video segmentation, for differentiating between foreground and background portions of video, comprising the steps of:
- obtaining a frame sequence from an input video stream;
executing a first-pass method for each frame of the frame sequence, the first-pass method comprising the steps of;
aligning the frame with a scene model; and
updating a background statistical model; and
finalizing the background statistical model;
executing a second-pass method for each frame of the frame sequence, the second-pass method comprising the steps of;
labeling each region of the frame; and
performing spatial/temporal filtering of the regions of the frame.
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Abstract
A method for segmenting video data into foreground and background portions utilizes statistical modeling of the pixels. A statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared with the background statistical model for that pixel. Pixels are determined to be foreground or background based on the comparisons.
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Citations
62 Claims
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1. A two-pass method of video segmentation, for differentiating between foreground and background portions of video, comprising the steps of:
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obtaining a frame sequence from an input video stream;
executing a first-pass method for each frame of the frame sequence, the first-pass method comprising the steps of;
aligning the frame with a scene model; and
updating a background statistical model; and
finalizing the background statistical model;
executing a second-pass method for each frame of the frame sequence, the second-pass method comprising the steps of;
labeling each region of the frame; and
performing spatial/temporal filtering of the regions of the frame. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62)
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16. A one-pass method of video segmentation, for differentiating between foreground and background portions of video, comprising the steps of:
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obtaining a frame sequence from a video stream; and
for each frame in the frame sequence, performing the following steps;
aligning the frame with a scene model;
building a background statistical model;
labeling the regions of the frame; and
performing spatial/temporal filtering.
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37. A one-pass method of video segmentation, for differentiating between foreground and background portions of video, comprising the steps of:
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obtaining a frame sequence from a video stream; and
for each frame in the frame sequence, performing the following steps;
aligning the frame with a scene model;
building a background statistical model and a secondary statistical model;
labeling the regions of the frame; and
performing spatial/temporal filtering.
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59. A method of segmenting video into foreground and background components, comprising the steps of:
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obtaining a sequence of video frames;
building and updating at least one background statistical model for each region of the video frames, based on the video frames; and
assigning labels to the regions, based on the at least one background statistical model.
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Specification