현장의 3차원 형상을 이용한 CCTV의 내부 및 외부 파라메터 예측

CCTV internal and external parameter estimation from 3D scene geometry

초록

The CCTV camera images obtained in a crime scene provide clues for the police investigation. Recently, a technique for predicting a three-dimensional gait shape of a criminal from a single CCTV camera has been developed. To accurately predict the gait shape, the internal and external parameters of the CCTV camera should be accurately calculated. In this study, the three-dimensional space of the crime scene was reconstructed using multiple view images. The internal and external parameters of the CCTV camera were estimated from the three-dimensional scene geometry. The corresponding points in the three-dimensional scene geometry and CCTV camera image were manually matched. The matching pairs were used to calculate the optimal values of the CCTV camera parameters. The objective of this study was to develop a method to estimate the internal and external parameters of the CCTV camera using the matching points between the three-dimensional scene geometry and CCTV camera.

키워드

보행; 카메라 캘리브레이션; Gait; Camera Calibration
제목
현장의 3차원 형상을 이용한 CCTV의 내부 및 외부 파라메터 예측
제목 (타언어)
CCTV internal and external parameter estimation from 3D scene geometry
저자
신건희; 이기욱; 구승범
발행일
2019-11
저널명
대한기계학회 춘추학술대회
페이지
1743 ~ 1745