Feature fusion and dense connection-based method for infrared plane object detection
US11055574B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 20, 2018 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | Nov 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/25
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A feature fusion and dense connection-based method for infrared plane object detection includes: constructing an infrared image dataset containing an object to be recognized, calibrating a position and class of the object to be recognized in the infrared image dataset, and obtaining an original known label image; dividing the infrared image dataset into a training set and a validation set; performing image enhancement preprocessing on images in the training set, performing feature extraction and feature fusion, and obtaining classification results and bounding boxes through a regression network; calculating a loss function according to the classification results and the bounding boxes in combination with the original known label image, and updating parameter values of a convolutional neural network; repeating the steps to iteratively update the parameters of the convolutional neural network; and processing images in the validation set through the parameters to obtain a final object detection result map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.