Machine learning framework for visual tracking
US10789728B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 15, 2018 |
| Grant date | Sep 29, 2020 |
| Priority date | — |
| Expiry date | Jun 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of analyzing autonomous vehicle data comprising recording a video of a vehicle environment utilizing one or more vehicle cameras, identifying corner points of objects in the video, identifying a forward-tracked location of one or more corner points in each frame from an earlier frame to a later frame of the recorded video played in forward, identifying a reverse-tracked location of one or more corner points in each frame from the later frame to the earlier frame of the recorded video played in reverse, comparing the forward-tracked location of the earlier frame and reverse-tracked location of the later frame, and adjusting a descriptor defining characteristics of one or more pixels of the corner point in response the comparison indicating an error rate exceeding a threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.