실시간 전장 시뮬레이션을 위한 시각 탐지 및 식별 모델링 제안

김동건 ; 현철^* ; 김정 ; 이상욱

LIG넥스원 전장분석개발팀 수석연구원

Proposal of a Visual Detection and Identification Modeling for Real-time Battlefield Simulation

Dong Geon Kim ; Chul Hyun^* ; Jeong Kim ; Sangwook Lee

1Principal researcher, Dept. of Battlefield Analysis and Development, LIG Nex1

Correspondence to: ^*Chul Hyun Dept. of Battlefield Analysis and Development, LIG Nex1 333 Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13488, Republic of Korea Tel: +82-31-5178-4293 Fax: +82-31-5179-7086 E-mail: chul.hyun@gmail.com

초록

본 논문에서는 교전 시뮬레이션 내부의 인간 요소 중, 시각을 이용한 탐지/식별에 대해서 실시간 시뮬레이션에 적용 가능한 모델링 방법론을 제시하였다. 영상을 기반으로 하는 탐지, 인지, 식별 확률 계산에 널리 쓰이는 Johnson 기준을 인간 시각에 적용하여 반영하였다. 탐지 범위 판단 모델, 탐지/식별 판단 모델, 표적 정보 추출 모델로 구성된 인간 시각 모델링을 수행하고 실시간 전장 시뮬레이션에 적용 가능하도록 하였다.

Abstract

This paper presents a methodology for modeling human visual detection and identification applicable to real-time simulations within engagement simulations. Johnson's criteria, widely used for calculating the probabilities of detection, recognition, and identification based on imagery, were applied to human vision. The human visual modeling consists of a detection range determination model, a detection/identification judgment model, and a target information extraction model, making it suitable for application in real-time battlefield simulations.

Keywords:

Real-time Battlefield Simulation, Human Visual Modeling, Detection/Identification, Spartial Resolution

키워드:

실시간 전장 시뮬레이션, 인간 시각 모델링, 탐지/식별, 공간분해능

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