Detection of moving objects in a video
First Claim
Patent Images
1. A method of improving identification of moving objects in a video comprising the steps of:
- obtaining a video sequence that includes the objects, and using a fast-adapting background subtraction model to validate the results of a slow-adapting background subtraction model to improve identification of the objects.
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Abstract
A video camera produces a video sequence including moving objects. A computer is adapted to process the video sequence, produce individual frames, and use a fast-adapting background subtraction model to validate the results of a slow-adapting background subtraction model to improve identification of the moving objects.
55 Citations
22 Claims
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1. A method of improving identification of moving objects in a video comprising the steps of:
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obtaining a video sequence that includes the objects, and using a fast-adapting background subtraction model to validate the results of a slow-adapting background subtraction model to improve identification of the objects. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of improving identification of objects in a video comprising the steps of:
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obtaining a video sequence that includes the moving objects, and utilizing an algorithm which combines a slow-adapting background subtraction technique with a fast-adapting background subtraction technique to improve identification of the objects, wherein the said algorithm slow-adapting algorithm is the Kalman filter and the fast-adapting algorithm is the difference of consecutive frames of the video, and validating the results of the slow adapting algorithm by considering the moving object to be defined by the bounding ellipse around the object identified by the fast-adapting algorithm, and using the histograms of the object and the background to correctly identify moving objects which may be partially occluded.
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14. An apparatus for improving identification of objects in a video, comprising:
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a camera that produces a video sequence including the objects; and
a computer adapted to process said video sequence, produce individual frames, and use a fast-adapting background subtraction model to validate the results of a slow-adapting background subtraction model to improve identification of the objects. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21)
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22. The apparatus for improving identification of objects in a video comprising:
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a camera that produces a video sequence that includes the moving objects; and
a computer adapted to process said video sequence, utilizing an algorithm which combines a slow-adapting background subtraction technique with a fast-adapting background subtraction technique to improve identification of the objects, wherein the said algorithm slow-adapting algorithm is the Kalman filter and the fast-adapting algorithm is the difference of consecutive frames of the video; and
validating the results of the slow adapting algorithm by considering the moving object to be defined by the bounding ellipse around the object identified by the fast-adapting algorithm; and
using the histograms of the object and the background to correctly identify moving objects which may be partially occluded.
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Specification