Method for acquiring bounding box corresponding to an object in an image by using convolutional neural network including tracking network and computing device using the same
US9946960B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 13, 2017 |
| Grant date | Apr 17, 2018 |
| Priority date | — |
| Expiry date | Oct 13, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for acquiring a bounding box corresponding to an object is provided. The method includes steps of: (a) acquiring proposal boxes; (b) selecting specific proposal box among the proposal boxes by referring to (i) a result of comparing distance between a reference bounding box and the proposal boxes and/or (ii) a result of comparing score which indicates whether the proposal boxes includes the object, and then setting the specific proposal box as a starting area of a tracking box; (c) determining a specific area of the current frame as a target area of the tracking box by using the mean shift tracking algorithm; and (d) allowing a pooling layer to generate a pooled feature map by applying pooling operation to an area corresponding to the specific area and then allowing a FC layer to acquire a bounding box by applying regression operation to the pooled feature map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.