Neural network for object detection and tracking
US12033334B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 13, 2022 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Jun 13, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A sequence of images generated at respective times by one or more sensors configured to sense an environment through which objects are moving relative to the one or more sensors is received. A message passing graph having a multiplicity of layers associated with the sequence of images is constructed. A neural network supported by the message passing graph is trained. The training includes performing a pass through the message passing graph in a forward direction including by adding a new feature node based on a feature detection and a new edge node and performing a pass through the message passing graph in a backward direction, including by updating at least one edge node of the message passing graph. Multiple features are tracked through the sequence of images, including passing messages through the message passing graph.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.