Training multi-object tracking models using simulation
US11854211B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2022 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Mar 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2219/2004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Training a multi-object tracking model includes: generating a plurality of training images based at least on scene generation information, each training image comprising a plurality of objects to be tracked; generating, for each training image, original simulated data based at least on the scene generation information, the original simulated data comprising tag data for a first object; locating, within the original simulated data, tag data for the first object, based on at least an anomaly alert (e.g., occlusion alert, proximity alert, motion alert) associated with the first object in the first training image; based at least on locating the tag data for the first object, modifying at least a portion of the tag data for the first object from the original simulated data, thereby generating preprocessed training data from the original simulated data; and training a multi-object tracking model with the preprocessed training data to produce a trained multi-object tracker.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.