Optimizations for dynamic object instance detection, segmentation, and structure mapping
US10565729B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2018 |
| Grant date | Feb 18, 2020 |
| Priority date | — |
| Expiry date | Jul 6, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a method includes a system accessing an image and generating a feature map using a first neural network. The system identifies a plurality of regions of interest in the feature map. A plurality of regional feature maps may be generated for the plurality of regions of interest, respectively. Using a second neural network, the system may detect at least one regional feature map in the plurality of regional feature maps that corresponds to a person depicted in the image, and generate a target region definition associated with a location of the person using the regional feature map. Based on the target region definition associated with the location of the person, a target regional feature map may be generated by sampling the feature map for the image. The system may process the target regional feature map to generate a keypoint mask and an instance segmentation mask.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.