Determining parameters of anchor boxes used in a sliding window method when a bounding box and a class of an object in an image are detected using a neural network and the sliding window method
US12299950B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 6, 2019 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Feb 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A detection object analysis unit (4) is a parameter determination apparatus that determines parameters of a plurality of anchor boxes to be used in a sliding window method when a bounding box and a class of an object in an image are detected using a neural network and the sliding window method. The detection object analysis unit (4) includes a distribution generation unit (11) that generates distribution information of parameters of bounding boxes indicated by object specifying information of a plurality of pieces of learning data. The detection object analysis unit (4) includes a clustering processing unit (12) that generates a plurality of clusters by clustering the distribution information. The detection object analysis unit (4) includes a parameter determination unit (13) that determines the parameters of the plurality of anchor boxes based on the plurality of clusters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.