Video ghost detection by outline
First Claim
1. A method of video image ghost detection for use in a video surveillance system using real-time image analysis of video data wherein at least one pass of a video frame produces a terrain map containing parameters indicating content of background and foreground video images, said method comprising (a) measuring one or more parameters in the terrain map for smoothness in segmentation to predict where an outline of an object is predicted, (b) considering the magnitudes of differences in regions of predicted object outlines;
- (c) determining from the magnitudes of differences in regions the probability of image ghosting therein in either background or foreground images or both.
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Abstract
Video image ghost detection in a security/surveillance CCTV system for automated image analysis. At least one pass of a video frame produces a terrain map with video content-indicating parameters, by which are analyzed behavior of objects, e.g., people and vehicles, moving in a scene having a background and a foreground, while detecting “ghost” images of objects that were in an adaptive background of the scene but are moving, by measuring a horizontal smoothness and/or vertical smoothness by segmentation procedure by which an object outline is predicted. The examination of segmented background and foreground image portions is conducted by software process to determine existence of such outline as by edge detection or changes in texture. Probability of an image ghost in either the background or foreground, or both, is calculated.
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Citations
17 Claims
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1. A method of video image ghost detection for use in a video surveillance system using real-time image analysis of video data wherein at least one pass of a video frame produces a terrain map containing parameters indicating content of background and foreground video images, said method comprising
(a) measuring one or more parameters in the terrain map for smoothness in segmentation to predict where an outline of an object is predicted, (b) considering the magnitudes of differences in regions of predicted object outlines; (c) determining from the magnitudes of differences in regions the probability of image ghosting therein in either background or foreground images or both. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. In a video system for automatically screening video cameras wherein software elements provide real-time image analysis of video data is performed, and wherein at least a single pass of a video frame produces a terrain map which contains parameters indicating the content of the video, a method of video image ghost detection comprising:
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(a) measuring one or more parameters in the terrain map for smoothness in segmentation to predict where an outline of an object is predicted, (b) considering the magnitudes of differences in regions of predicted object outlines;
(c) determining from the magnitudes of differences in regions the probability of image ghosting therein in either background or foreground images or both. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A method of video image ghost detection for use in a video system using real-time image analysis of video data wherein a video frame is analyzed to provide a set of data containing parameters indicating content of background and foreground video images, said method comprising
(a) measuring one or more parameters to predict where an outline of an object is predicted, (b) considering the magnitudes of differences in regions of predicted object outlines; (c) determining from the magnitudes of differences in regions the probability of image ghosting therein in either background or foreground images or both.
Specification