Patents by Inventor Marc Sturzel

Marc Sturzel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8626687
    Abstract: The invention relates to an attribute selection method for making statistical learning of descriptors intended to enable automatic recognition and/or detection of an object from a set of images, method characterized by the following steps: obtain a mask of the object in each image containing said object to be recognized, define and select at least one set of descriptors as a function of their geometric shape and/or apparent specific physical characteristics, calculate attributes associated with this shape and said specific physical characteristics, sort the descriptors as a function of their respective scores, select descriptors with the highest scores to perform said statistical learning.
    Type: Grant
    Filed: February 19, 2010
    Date of Patent: January 7, 2014
    Assignee: European Aeronautic Defence and Space Company-Eads France
    Inventors: Xavier Perrotton, Marc Sturzel
  • Patent number: 8594373
    Abstract: A method for identifying an object in a video archive including multiple images acquired in a network of cameras including a phase of characterization of the object to be identified and a phase of searching for the object in the archive, where the characterization phase consists of defining for the object at least one semantic characteristic capable of being extracted, even in low-resolution images, from the video archive.
    Type: Grant
    Filed: August 26, 2009
    Date of Patent: November 26, 2013
    Assignee: European Aeronautic Defence and Space Company-EADS France
    Inventors: Marc Sturzel, Frédéric Jurie
  • Publication number: 20120072383
    Abstract: The invention relates to an attribute selection method for making statistical learning of descriptors intended to enable automatic recognition and/or detection of an object from a set of images, method characterized by the following steps: obtain a mask of the object in each image containing said object to be recognised, define and select at least one set of descriptors as a function of their geometric shape and/or apparent specific physical characteristics, calculate attributes associated with this shape and said specific physical characteristics, sort the descriptors as a function of their respective scores, select descriptors with the highest scores to perform said statistical learning.
    Type: Application
    Filed: February 19, 2010
    Publication date: March 22, 2012
    Applicant: European Aeronautic Defence and Space Company Eads
    Inventors: Xavier Perrotton, Marc Sturzel
  • Publication number: 20120039506
    Abstract: The invention concerns a method for identifying an object in a video archive including multiple images acquired in a network of cameras including a phase of characterisation of the object to be identified and a phase of searching for the said object in the said archive, where the said characterisation phase consists in defining for the said object at least one semantic characteristic capable of being extracted, even in low-resolution images, from the said video archive.
    Type: Application
    Filed: August 26, 2009
    Publication date: February 16, 2012
    Applicant: European Aeronautic Defence and Space Company - EADS France
    Inventors: Marc Sturzel, Frédéric Jurie
  • Publication number: 20110211084
    Abstract: The invention is in the field of remote control of a device on board a mobile vehicle and concerns more specifically a method and a device for controlling, from a remote station, a camera on board a mobile station.
    Type: Application
    Filed: August 18, 2009
    Publication date: September 1, 2011
    Inventor: Marc Sturzel