This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Joost-Paul Coebergh and Vision-Based Human Action Identification.
Introduction
Joost-Paul Coebergh is an inventor associated with Newcastle, Washington, and Microsoft Technology Licensing, LLC. His patent work addresses how computer vision systems can identify human actions involving objects by analyzing images of both a person and a targeted body part.
Latest Patents
Coebergh is named on 1 patent: “Combining Body and Target Regions for Identification of a Human Action with Respect to an Object.” The invention uses a single vision model to process lower-resolution images of a body alongside higher-resolution images of a targeted body part interacting with an object. It extracts body and target regions from scene images, which may be sequential video frames, and processes them in a way that allows the target region to be analyzed more granularly. This approach is designed to improve the efficiency of identifying human actions involving objects.
Career Highlights
Coebergh’s listed patent is associated with Microsoft Technology Licensing, LLC, a company that manages and licenses technology-related intellectual property. The invention reflects work in computer vision and image analysis, particularly in combining information at different levels of detail.
Collaborations
Pei Yu is identified as Coebergh’s coworker. The available information does not specify whether Yu collaborated on the patent.
Conclusion
Joost-Paul Coebergh’s patent focuses on using a single vision model to combine broad body imagery with detailed views of object interactions, supporting more efficient human-action identification.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
