Video segmentation using statistical pixel modeling
First Claim
Patent Images
1. A method of implementing an intelligent video surveillance system, comprising:
- segmenting video into foreground and background components, the segmenting comprising;
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;
identifying and classifying objects based on the labeled regions; and
analyzing behaviors of at least one object.
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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. The method for segmenting video data may be further incorporated into a method for implementing an intelligent video surveillance system.
57 Citations
21 Claims
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1. A method of implementing an intelligent video surveillance system, comprising:
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segmenting video into foreground and background components, the segmenting comprising;
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;
identifying and classifying objects based on the labeled regions; and
analyzing behaviors of at least one object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An apparatus for intelligent video surveillance adapted to perform the method comprising:
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segmenting video into foreground and background components, the segmenting comprising;
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;
identifying and classifying objects based on the labeled regions; and
analyzing behaviors of at least one object. - View Dependent Claims (17)
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18. A method of implementing an intelligent video surveillance system, comprising:
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building and updating at least one background statistical model for an input video sequence;
labeling regions of frames of the input video sequence based on the at least one background statistical model;
identifying and classifying at least one object in the input video sequence based on the labeled regions; and
analyzing behavior of said at least one object. - View Dependent Claims (19)
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20. An apparatus for intelligent video surveillance adapted to perform the method comprising:
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building and updating at least one background statistical model for an input video sequence;
labeling regions of frames of the input video sequence based on the at least one background statistical model;
identifying and classifying at least one object in the input video sequence based on the labeled regions; and
analyzing behavior of said at least one object. - View Dependent Claims (21)
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Specification