公开(公告)号：US11688163B2

公开(公告)日：2023-06-27

申请号：US17439719

申请日：2020-10-24

Applicant: GOERTEK INC.

Inventor： Xiufeng Song

IPC: G06V20/17 ,  G06V20/40 ,  G06V10/771 ,  G06V10/82 ,  B64C39/02 ,  B64U101/30

CPC classification number: G06V20/17 ,  B64C39/024 ,  G06V10/771 ,  G06V10/82 ,  G06V20/49 ,  B64U2101/30 ,  G06V2201/07

Abstract: A target recognition method and device based on a MASK RCNN network model are disclosed. The method comprises: determining a multi-stage network as a basic network; selecting at least one intermediate layer capable of extracting a feature map from the basic network, and inputting respectively a feature map output by the intermediate layer and a feature map output by an end layer of the basic network to corresponding MASK RCNN recognition networks to construct a network model based on the MASK RCNN, wherein the feature map output by the intermediate layer and the feature map output by the end layer have different sizes; training the MASK RCNN recognition networks with a data set and stopping training until a preset training end condition is satisfied; and recognizing the target using the MASK RCNN recognition networks after trained. This solution is very suitable for small target recognition of a flying UAV.