Patents by Inventor Daniel D. Winker

Daniel D. Winker 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).

  • Method and apparatus for high-confidence people classification, change detection, and nuisance alarm rejection based on shape classifier using 3D point cloud data
    Patent number: 12181603
    Abstract: A detector may include processing circuitry configured to receive monitoring data associated with an environment being monitored, where the monitoring data includes a series of frames of three-dimensional point cloud information. The processing circuitry may be further configured to perform image segmentation on the monitoring data to generate segmented three-dimensional data associated with the environment, identify one or more objects in the environment based on subtracting background from the segmented three-dimensional data, convert data associated with the one or more objects from the segmented three-dimensional data into two-dimensional object data, and perform object classification on the two-dimensional object data.
    Type: Grant
    Filed: March 19, 2021
    Date of Patent: December 31, 2024
    Assignee: The Johns Hopkins University
    Inventors: Bruce P. Mosier, Lee S. Stearns, Daniel D. Winker, Nicolas Norena Acosta
  • METHOD AND APPARATUS FOR HIGH-CONFIDENCE PEOPLE CLASSIFICATION, CHANGE DETECTION, AND NUISANCE ALARM REJECTION BASED ON SHAPE CLASSIFIER USING 3D POINT CLOUD DATA
    Publication number: 20220035003
    Abstract: A detector may include processing circuitry configured to receive monitoring data associated with an environment being monitored, where the monitoring data includes a series of frames of three-dimensional point cloud information. The processing circuitry may be further configured to perform image segmentation on the monitoring data to generate segmented three-dimensional data associated with the environment, identify one or more objects in the environment based on subtracting background from the segmented three-dimensional data, convert data associated with the one or more objects from the segmented three-dimensional data into two-dimensional object data, and perform object classification on the two-dimensional object data.
    Type: Application
    Filed: March 19, 2021
    Publication date: February 3, 2022
    Inventors: Bruce P. Mosier, Lee S. Stearns, Daniel D. Winker, Nicolas Norena Acosta