Company Filing History:
Years Active: 2021-2025
Title: Matthew Oakes: Innovator in Real-Time Video Processing
Introduction
Matthew Oakes is a prominent inventor based in Withington, GB. He has made significant contributions to the field of video processing, particularly in real-time body pose estimation and facial feature tracking. With a total of 2 patents, Oakes continues to push the boundaries of technology in his area of expertise.
Latest Patents
Oakes' latest patents include a "Real-time body pose estimation system and method in unconstrained video." This innovative system allows for the tracking of body features of a subject using an unconstrained video sequence. The process involves receiving a set of 2D coordinates from a neural network, detecting 2D keypoints, and generating 3D coordinates that correspond to the subject's body features. Additionally, non-linear optimizations are applied to fit a predetermined skeleton to the generated 3D keypoints, resulting in accurate pose estimations.
Another notable patent is "Real-time tracking of facial features in unconstrained video." This method focuses on locating and tracking facial features within an unconstrained video sequence. It employs a face-detecting process to delineate the subject's face and uses a convolutional neural network to detect landmarks. The process also involves fitting a three-dimensional character model to the detected landmarks, enhancing the accuracy of facial landmark tracking.
Career Highlights
Matthew Oakes is currently associated with Image Metrics Limited, where he applies his expertise in video processing technologies. His work has garnered attention for its innovative approach to real-time tracking and estimation systems.
Collaborations
Oakes collaborates with talented individuals such as Kevin Walker and Mike Rogers, contributing to the advancement of their projects and innovations.
Conclusion
Matthew Oakes stands out as a key figure in the realm of video processing innovations. His patents reflect a commitment to enhancing real-time tracking technologies, making significant strides in the field.