Method for tracking object by using convolutional neural network including tracking network and computing device using the same
US10269125B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 5, 2018 |
| Grant date | Apr 23, 2019 |
| Priority date | — |
| Expiry date | Oct 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for tracking an object by using a CNN including a tracking network is provided. The method includes steps of: a testing device (a) generating a feature map by using a current video frame, and instructing an RPN to generate information on proposal boxes; (b) (i) generating an estimated state vector by using a Kalman filter algorithm, generating an estimated bounding box, and determining a specific proposal box as a seed box, and (ii) instructing an FCN to apply full convolution operations to the feature map, to thereby output a position sensitive score map; (c) generating a current bounding box by referring to a regression delta and a seed box which are generated by instructing a pooling layer to pool a region, corresponding to the seed box, on the position sensitive score map, and adjusting the current bounding box by using the Kalman filter algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.