System and method for object identification and behavior characterization using video analysis
First Claim
1. A system, comprising:
- a computer configured to determine a position and shape of an object of interest from video images and characterize activity of said object of interest based on analysis of changes in said position and said shape over time.
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Abstract
In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object'"'"'s movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.
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Citations
42 Claims
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1. A system, comprising:
a computer configured to determine a position and shape of an object of interest from video images and characterize activity of said object of interest based on analysis of changes in said position and said shape over time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method of determining and characterizing activity of an object using computer processing of video images, comprising the steps of:
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detecting a foreground object of interest in said video images;
tracking changes to said foreground object over a plurality of said video images;
identifying and classifying said changes to said foreground object; and
characterizing said activity of said foreground object based on comparison to activity of a standard object. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35)
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36. A method for background subtraction of a video image, comprising the steps of:
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grouping a number of images into a set of video images;
creating a standard deviation map of the grouped images;
removing a bounding box area of said image where variation is above a predetermined threshold to create a partial image; and
combining said partial image with an existing set of partial images by averaging the set of images to generate a complete background image deplete of a desired foreground object. - View Dependent Claims (37, 38)
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39. A system, comprising:
a computer configured to detect and characterize at least a single behavior of an object of interest based on movement of said object, using video image analysis. - View Dependent Claims (40, 41, 42)
Specification