Object detection
US12046047B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 7, 2021 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Jan 13, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A segmentation mask can be determined that includes at least one moving object in a plurality of images based on determining eccentricity for each pixel location in the plurality of images. A first image included in the plurality of images can be segmented by applying the segmentation mask to the image. The segmented first image can be transformed to a compressed dense matrix which includes pixel values for non-zero portions of the segmented first image. The compressed dense matrix can be input to a sparse convolutional neural network trained to detect objects. A detected object corresponding to the at least one moving object included in the first image can be output from the sparse convolutional neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.