Training machine learning models to detect objects in video data
US10430662B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 19, 2017 |
| Grant date | Oct 1, 2019 |
| Priority date | — |
| Expiry date | Nov 25, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/8133
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are described for training machine learning models to detect objects in image or video data. A system may select a first sample set of frames from one or more video files. Indications of a location of an object of interest in each of at least two sample frames may be received, then the system may determine the location of the object of interest across a number of intermediary frames using a tracker. Annotation data may be stored identifying the objects of interest in the sample frames, and the annotation data may be used in training a machine learning model to identify the object of interest in subsequently provided image or video data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.