Neural network for object detection and tracking
US11361449B2 · kind B2 · utility
1Cited by
1References
20Claims
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Key dates
| Filing date | Sep 4, 2020 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Oct 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for multi-object tracking includes receiving 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, and constructing a message passing graph in which each of a multiplicity of layers corresponds to a respective one in the sequence of images. The method also includes tracking multiple features through the sequence of images, including passing messages in a forward direction and a backward direction through the message passing graph to share information across time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.