Nvidia patents video tracking that focuses on user-selected objects
Nvidia describes a system that uses neural networks to track moving objects in video. The system adjusts how often it checks for objects based on specific areas of the video frame that a user has selected.
In the filing’s own words
Apparatuses, systems, and techniques to track object movements in a video. In at least one embodiment, a rate, at which one or more neural networks is to identify one or more objects within the video, may be adjusted based, at least in part on one or more user-selected portions of a video frame.
What exactly they claim (claim 1)
1 - 20. (canceled)
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- SELECTIVE OBJECT TRACKING USING NEURAL NETWORKS
- Publication number
- US20260268690A1
- Application number
- 19652740
- Filed
- Apr 20, 2026
- Published
- Sep 10, 2026
- Inventors
- 2
- Claims
- 21
Classified under
G06V 20/58 Physics & computingG06V 10/235 Physics & computingG06V 10/82 Physics & computingG06V 2201/07 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.