System and method for siamese instance search tracker with a recurrent neural network
US10846593B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2019 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Apr 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus may be configured to obtain, for a Siamese neural network having a recurrent neural network (RNN), an initial representation associated with a target object at a first time step and a set of candidate regions at a current time step. The apparatus may determine an updated representation associated with the target object based on the initial representation at the first time step and observed information associated with the target object at a set of previous time steps, and the observed information associated with the target object may be represented by a hidden state of the RNN. The apparatus may output the updated representation associated with the target object for matching with the set of candidate regions at the current time step by the Siamese neural network. The apparatus may determine the updated representation further based on a hidden state at a previous time step.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.