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US Patent 9275289 Feature- and classifier-based vehicle headlight/shadow removal in video

Patent 9275289 was granted and assigned to Xerox on March, 2016 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Xerox
Xerox
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Current Assignee
Xerox
Xerox
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
92752890
Patent Inventor Names
Qun Li0
Edgar A. Bernal0
Matthew Shreve0
Robert P. Loce0
Date of Patent
March 1, 2016
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Patent Application Number
142270350
Date Filed
March 27, 2014
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Patent Citations Received
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US Patent 11665108 QoS manager for system on a chip communications
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US Patent 11681649 Computational array microprocessor system using non-consecutive data formatting
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US Patent 11748620 Generating ground truth for machine learning from time series elements
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US Patent 12079723 Optimizing neural network structures for embedded systems
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US Patent 11790664 Estimating object properties using visual image data
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US Patent 11841434 Annotation cross-labeling for autonomous control systems
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US Patent 11893393 Computational array microprocessor system with hardware arbiter managing memory requests
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US Patent 11893774 Systems and methods for training machine models with augmented data
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...
Patent Primary Examiner
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Atiba O Fitzpatrick
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Patent abstract

A method for removing false foreground image content in a foreground detection process performed on a video sequence includes, for each current frame, comparing a feature value of each current pixel against a feature value of a corresponding pixel in a background model. The each current pixel is classified as belonging to one of a candidate foreground image and a background based on the comparing. A first classification image representing the candidate foreground image is generated using the current pixels classified as belonging to the candidate foreground image. The each pixel in the first classification image is classified as belonging to one of a foreground image and a false foreground image using a previously trained classifier. A modified classification image is generated for representing the foreground image using the pixels classified as belonging to the foreground image while the pixels classified as belonging to the false foreground image are removed.

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