Patents by Inventor Mingjun NIE

Mingjun NIE 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: 12469295
    Abstract: The present disclosure provides an information acquiring method and apparatus, and an attention degree detecting system. The information acquiring method includes: acquiring a video frame captured by a video capturing equipment detecting whether a pedestrian exists in the video frame by using a first deep-learning model; processing the video frame by using a second deep-learning model to generate a pedestrian bounding box of the pedestrian under a condition that the pedestrian exists in the video frame, and assigning a corresponding pedestrian identifier to the pedestrian bounding box; identifying an image in the pedestrian bounding box by using a third deep-learning model to identify feature information of the pedestrian; and writing a pedestrian historical data into a database, wherein the pedestrian historical data comprises a timestamp and an identifier of the video frame, coordinate information of the pedestrian bounding box, the pedestrian identifier and the feature information of the pedestrian.
    Type: Grant
    Filed: May 13, 2021
    Date of Patent: November 11, 2025
    Assignees: BEIJING WODONG TIANJUN INFORMATION TECHNOLOGY CO., LTD., BEIJING JINGDONG CENTURY TRADING CO., LTD
    Inventors: Mingjun Nie, Jingjing Wang, Jiangxu Wu, Miaofeng Hu, Shiwei Ma, Ran Zhang
  • Publication number: 20230206642
    Abstract: The present disclosure provides an information acquiring method and apparatus, and an attention degree detecting system. The information acquiring method includes: acquiring a video frame captured by a video capturing equipment detecting whether a pedestrian exists in the video frame by using a first deep-learning model; processing the video frame by using a second deep-learning model to generate a pedestrian bounding box of the pedestrian under a condition that the pedestrian exists in the video frame, and assigning a corresponding pedestrian identifier to the pedestrian bounding box; identifying an image in the pedestrian bounding box by using a third deep-learning model to identify feature information of the pedestrian; and writing a pedestrian historical data into a database, wherein the pedestrian historical data comprises a timestamp and an identifier of the video frame, coordinate information of the pedestrian bounding box, the pedestrian identifier and the feature information of the pedestrian.
    Type: Application
    Filed: May 13, 2021
    Publication date: June 29, 2023
    Inventors: Mingjun NIE, Jingjing WANG, Jiangxu WU, Miaofeng HU, Shiwei MA, Ran ZHANG