公开(公告)号：US12026231B2

公开(公告)日：2024-07-02

申请号：US17497771

申请日：2021-10-08

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Joon Goo Lee ,  Jang Woon Baek ,  Kil Taek Lim ,  Yun Won Choi ,  Byung Gil Han

IPC: G06K9/00 ,  G06F18/21 ,  G06T7/194 ,  G06V20/52

CPC classification number: G06F18/217 ,  G06T7/194 ,  G06V20/52 ,  G06T2207/10024 ,  G06T2207/20036 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30232

Abstract: Provided is a method of creating a local database for local optimization of an object detector based on a deep neural network. The method includes performing preprocessing on an image extracted from real-time collected or pre-collected images from an edge device, modeling a static background image based on the image received through the pre-processing unit and calculating a difference image between a current input image and a background model to model a dynamic foreground image, detecting an object image from the image based on a training model, and creating a local database based on the background image, the foreground image synthesized with the background image, and the object image synthesized with the background image.