Pixel-level based micro-feature extraction
US10755131B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2018 |
| Grant date | Aug 25, 2020 |
| Priority date | — |
| Expiry date | Jul 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/473
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for extracting micro-features at a pixel-level based on characteristics of one or more images. Importantly, the extraction is unsupervised, i.e., performed independent of any training data that defines particular objects, allowing a behavior-recognition system to forgo a training phase and for object classification to proceed without being constrained by specific object definitions. A micro-feature extractor that does not require training data is adaptive and self-trains while performing the extraction. The extracted micro-features are represented as a micro-feature vector that may be input to a micro-classifier which groups objects into object type clusters based on the micro-feature vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.