Patent

Registered SYSTEM FOR LOCAL OPTIMIZATION OF OBJECT DETECTOR BASED ON DEEP NEURAL NETWORK AND METHOD OF CREATING LOCAL DATABASE THEREFOR

Inventors
Joon-Goo Lee, Choi Yun Won, Baek Jang Woon, Han Byung Gil, Lim Kil Taek
Application No.
17497771 (2021.10.08)
Publication No.
20220147773 (2022.05.12)
Registration No.
12026231 (2024.07.02)
Country
UNITED STATES
Project Code
20ZD1100, 대경권 지역산업 기반 ICT 융합기술 고도화 지원사업, Moon Ki Young
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.
KSP Keywords
Background image, Background model, Deep neural network(DNN), Difference image, Edge devices, Local database, Object image, Pre-processing, Processing unit, Real-time, local optimization, neural network(NN), object detector, training model
Family
 
패밀리 특허 목록
Status Patent Country KIPRIS
Registered 심층신경망을 기반으로 하는 객체 검출기의 지역 최적화를 위한 시스템 및 이를 위한 로컬 데이터베이스 생성 방법 KOREA KIPRIS