Machine learning framework applied in a semi-supervised setting to perform instance tracking in a sequence of image frames
US12400341B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 6, 2022 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Oct 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system are provided for tracking instances within a sequence of video frames. The method includes the steps of processing an image frame by a backbone network to generate a set of feature maps, processing the set of feature maps by one or more prediction heads, and analyzing the embedding features corresponding to a set of instances in two or more image frames of the sequence of video frames to establish a one-to-one correlation between instances in different image frames. The one or more prediction heads includes an embedding head configured to generate a set of embedding features corresponding to one or more instances of an object identified in the image frame. The method may also include training the one or more prediction heads using a set of annotated image frames and/or a plurality of sequences of unlabeled video frames.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.