System and method for detecting an invalid camera in video surveillance
First Claim
1. A method for detecting when a camera providing video surveillance of a scene in successive image frames is an invalid camera, said method comprising the steps of:
- periodically generating a background image from a plurality of said successive image frames from the camera;
extracting first features from the background image;
extracting second features from new image frames from said camera;
correlating, for each of said new image frames, at common locations in the new image frame and the last periodically generated background image, in which said locations are associated with said first features extracted from the last periodically generated background image and second features of the new image frame, to determine non-correlated features in the new image frame with respect to the last periodically generated background image; and
determining said camera as representing an invalid camera in accordance with one or more of the number, percentage, or spatial distribution of said non-correlated features in a plurality of ones of said new images.
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Accused Products
Abstract
A system having a camera (18) for capturing video images of a scene in successive image frames, and a computer system (14 or 20) for receiving such video images. The computer system periodically generates a background image of the scene from multiple successive image frames (23) and extracts features in the background image (26), and extracts features for each new image frame received from the camera (28). For each new image frames, the new image frame and the last periodically generated background image are correlated at common locations (parts or regions) associated with the features extracted from the last periodically generated background image and features of the new image frame (30), to determine non-correlated features in the new image frame with respect to the last periodically generated background image (31). If the number and/or percentage of non-correlated features are sufficiently high, and/or the spatial distribution of non-correlated features is sufficiently low, the image frame is determined to have an invalid background (32, 33). When multiple successive frames are determined as having invalid backgrounds, the camera (20) represents an invalid camera.
46 Citations
22 Claims
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1. A method for detecting when a camera providing video surveillance of a scene in successive image frames is an invalid camera, said method comprising the steps of:
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periodically generating a background image from a plurality of said successive image frames from the camera; extracting first features from the background image; extracting second features from new image frames from said camera; correlating, for each of said new image frames, at common locations in the new image frame and the last periodically generated background image, in which said locations are associated with said first features extracted from the last periodically generated background image and second features of the new image frame, to determine non-correlated features in the new image frame with respect to the last periodically generated background image; and determining said camera as representing an invalid camera in accordance with one or more of the number, percentage, or spatial distribution of said non-correlated features in a plurality of ones of said new images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 22)
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10. A method for detecting an invalid background in video images of a scene from a camera useful for determining when said camera is invalid, said method comprising the steps of:
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(a) generating a background image of the scene from a plurality of said images provided from a camera over a period of time; (b) extracting feature locations in the background image; (c) extracting feature locations from one of said images from said camera; (d) correlating regions of the background image and said one of said images with respect to each of said extracted feature locations from steps (b) and (c) to characterize each of the feature locations as representing a correlated feature or a non-correlated feature in the scene, thereby providing a plurality of correlated features and a plurality of non-correlated features associated with the scene in said one of said images; and (e) determining said one of said image as having an invalid background in accordance with at least one of the number of said non-correlated features, a percentage of said non-correlated features to a total number of non-correlated features and correlated features, or spatial distribution of said non-correlated features. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A system for detecting an invalid camera in video surveillance comprising:
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a camera for capturing video images of a scene; and a computer system for received said images and determining when said camera represents an invalid camera in accordance with sufficient change occurring in the background of said scene in said images. - View Dependent Claims (19, 20, 21)
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Specification