Patents by Inventor Lucas Plaetevoet

Lucas Plaetevoet 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).

  • Robust subspace recovery via dual sparsity pursuit
    Patent number: 9418318
    Abstract: A computer-implemented method of detecting a foreground data in an image sequence using a dual sparse model framework includes creating an image matrix based on a continuous image sequence and initializing three matrices: a background matrix, a foreground matrix, and a coefficient matrix. Next, a subspace recovery process is performed over multiple iterations. This process includes updating the background matrix based on the image matrix and the foreground matrix; minimizing an L?1 norm of the coefficient matrix using a first linearized soft-thresholding process; and minimizing an L?1 norm of the foreground matrix using a second linearized soft-thresholding process. Then, background images and foreground images are generated based on the background and foreground matrices, respectively.
    Type: Grant
    Filed: August 26, 2014
    Date of Patent: August 16, 2016
    Assignees: Siemens Aktiengesellschaft, North Carolina State University
    Inventors: Mariappan S. Nadar, Xiao Bian, Qiu Wang, Hasan Ertan Cetingul, Hamid Krim, Lucas Plaetevoet
  • ROBUST SUBSPACE RECOVERY VIA DUAL SPARSITY PURSUIT
    Publication number: 20150063687
    Abstract: A computer-implemented method of detecting a foreground data in an image sequence using a dual sparse model framework includes creating an image matrix based on a continuous image sequence and initializing three matrices: a background matrix, a foreground matrix, and a coefficient matrix. Next, a subspace recovery process is performed over multiple iterations. This process includes updating the background matrix based on the image matrix and the foreground matrix; minimizing an L?1 norm of the coefficient matrix using a first linearized soft-thresholding process; and minimizing an L?1 norm of the foreground matrix using a second linearized soft-thresholding process. Then, background images and foreground images are generated based on the background and foreground matrices, respectively.
    Type: Application
    Filed: August 26, 2014
    Publication date: March 5, 2015
    Inventors: Mariappan S. Nadar, Xiao Bian, Qiu Wang, Hasan Ertan Cetingul, Hamid Krim, Lucas Plaetevoet