Patents by Inventor Jinghao Zhou

Jinghao Zhou 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 DEVICE FOR TARGET TRACKING, AND STORAGE MEDIUM
    Publication number: 20220383517
    Abstract: The present disclosure relates to a method and a device for target tracking, an electronic apparatus and a storage medium. The method comprises the following steps: obtaining a first tracking parameter from a template image of a target object; tracking the target object in a current image based on the first tracking parameter to obtain a first predicted tracking result of the current image; determining a second tracking parameter based on the template image and history images of the target object, wherein the history images represent images prior to the current image and containing the target object; tracking the target object in the current image based on the second tracking parameter to obtain a second predicted tracking result of the current image; and obtaining a tracking result of the target object in the current image based on the first predicted tracking result and the second predicted tracking result.
    Type: Application
    Filed: August 3, 2022
    Publication date: December 1, 2022
    Inventors: Jinghao ZHOU, Lei QIAO, Bo LI
  • Method and system for regression-based object detection in medical images
    Patent number: 7949173
    Abstract: A method and system for regression-based object detection in medical images is disclosed. A regression function for predicting a location of an object in a medical image based on an image patch is trained using image-based boosting ridge regression (IBRR). The trained regression function is used to determine a difference vector based on an image patch of a medical image. The difference vector represents the difference between the location of the image patch and the location of a target object. The location of the target object in the medical image is predicted based on the difference vector determined by the regression function.
    Type: Grant
    Filed: October 3, 2007
    Date of Patent: May 24, 2011
    Assignee: Siemens Corporation
    Inventors: Shaohua Kevin Zhou, Jinghao Zhou, Bogdan Georgescu, Dorin Comaniciu
  • Method and System For Regression-Based Object Detection in Medical Images
    Publication number: 20080085044
    Abstract: A method and system for regression-based object detection in medical images is disclosed. A regression function for predicting a location of an object in a medical image based on an image patch is trained using image-based boosting ridge regression (IBRR). The trained regression function is used to determine a difference vector based on an image patch of a medical image. The difference vector represents the difference between the location of the image patch and the location of a target object. The location of the target object in the medical image is predicted based on the difference vector determined by the regression function.
    Type: Application
    Filed: October 3, 2007
    Publication date: April 10, 2008
    Applicant: SIEMENS CORPORATE RESEARCH, INC.
    Inventors: Shaohua Zhou, Jinghao Zhou, Bogdan Georgescu, Dorin Comaniciu