Systems and methods for tracking objects in videos using machine-learning models
US12354306B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 4, 2022 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Aug 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/62
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A video file may be presented via a user application that displays one or more video frames of the video file. A user request to perform an object detection for objects of a specific object type in a video frame of the video file may be received from the user application. A machine-learning model of a plurality of machine-learning models that is configured to detect objects of the specific object type may be applied to the video frame to detect an object of the specific object type in the video frame. Each of the plurality of machine-learning models may be trained to detect objects of a corresponding object type. Subsequently, an object tracking algorithm may be applied to one or more additional video frames of the video file to track the object of the specific object type across the one or more additional video frames.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.