영상 내 건설인력 위치 추적을 위한 등극선 기하학 기반의 개체 매칭 기법

• 영문명: Entity Matching for Vision-Based Tracking of Construction Workers Using Epipolar Geometry
• 발행기관: 한국BIM학회
• 저자명: 이용주(Lee YongJoo) 김도완(Kim DoWan) 박만우(Park ManWoo)
• 간행물 정보: 『KIBIM Magazine』5권 2호, 46~54쪽, 전체 9쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2015.06.30

영문 초록

Vision-based tracking has been proposed as a means to efficiently track a large number of construction resources operating in a congested site. In order to obtain 3D coordinates of an object, it is necessary to employ stereo-vision theories. Detecting and tracking of multiple objects require an entity matching process that finds corresponding pairs of detected entities across the two camera views. This paper proposes an efficient way of entity matching for tracking of construction workers. The proposed method basically uses epipolar geometry which represents the relationship between the two fixed cameras. Each pixel coordinate in a camera view is projected onto the other camera view as an epipolar line. The proposed method finds the matching pair of a worker entity by comparing the proximity of the all detected entities in the other view to the epipolar line. Experimental results demonstrate its suitability for automated entity matching for 3D vision-based tracking of construction workers.

목차

ABSTRACT

1. 서론

2. 등극선 기하학 기반 개체 매칭 방법

3. 실험 결과

4. 결론 및 향후 연구 진행 방향

References

키워드

Image processing Computer vision Tracking Construction worker Automation 영상처리 컴퓨터 비전 위치 추적 건설인력 자동화