Patents by Inventor Desappan Kumar

Desappan Kumar 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).

  • FEATURE POINT IDENTIFICATION IN SPARSE OPTICAL FLOW BASED TRACKING IN A COMPUTER VISION SYSTEM
    Publication number: 20240153105
    Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.
    Type: Application
    Filed: January 17, 2024
    Publication date: May 9, 2024
    Inventors: Deepak Kumar PODDAR, Anshu JAIN, Desappan KUMAR, Pramod Kumar SWAMI
  • Feature point identification in sparse optical flow based tracking in a computer vision system
    Patent number: 11915431
    Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.
    Type: Grant
    Filed: August 6, 2019
    Date of Patent: February 27, 2024
    Assignee: Texas Instruments Incorporated
    Inventors: Deepak Kumar Poddar, Anshu Jain, Desappan Kumar, Pramod Kumar Swami
  • FEATURE POINT IDENTIFICATION IN SPARSE OPTICAL FLOW BASED TRACKING IN A COMPUTER VISION SYSTEM
    Publication number: 20190370979
    Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.
    Type: Application
    Filed: August 6, 2019
    Publication date: December 5, 2019
    Inventors: Deepak Kumar PODDAR, Anshu JAIN, Desappan KUMAR, Pramod Kumar SWAMI
  • Feature point identification in sparse optical flow based tracking in a computer vision system
    Patent number: 10460453
    Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.
    Type: Grant
    Filed: September 15, 2016
    Date of Patent: October 29, 2019
    Assignee: TEXAS INSTRUMENTS INCORPORATED
    Inventors: Deepak Kumar Poddar, Anshu Jain, Desappan Kumar, Pramod Kumar Swami
  • Feature Point Identification in Sparse Optical Flow Based Tracking in a Computer Vision System
    Publication number: 20170193669
    Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.
    Type: Application
    Filed: September 15, 2016
    Publication date: July 6, 2017
    Inventors: Deepak Kumar Poddar, Anshu Jain, Desappan Kumar, Pramod Kumar Swami