한국산업정보학회논문지 (Journal of Korea Society of Industrial Information Systems)

한국산업정보학회 (Korea Society of Industrial Information Systems)
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고속 객체 검출을 위한 적분 히스토그램 기반 프레임워크

Integral Histogram-based Framework for Rapid Object Tracking

  • 고재필 (금오공과대학교 컴퓨터공학과) ;
  • 안정호 (강남대학교 컴퓨터공학부) ;
  • 홍원기 (대구대학교 멀티미디어학과)
  • 투고 : 2015.02.19
  • 심사 : 2015.04.17
  • 발행 : 2015.04.30
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초록

본 논문에서는 스마트폰 카메라의 객체기반 자동초점 기능을 위해, 움직이는 물체의 고속 추적 방법을 제안한다. 사양이 낮은 플랫폼에서의 비-학습 제약을 고려하여 히스토그램 특징 기반의 슬라이딩 윈도우 검출 기법을 사용한다. 각 부분 윈도우에 대한 히스토그램의 계산 시간문제는 적분 히스토그램을 통해 해결한다. 본 논문에서는 지역적 후보 검출, 적응적 템플릿 크기 방법을 제안한다. 또한 추적 위치의 안정화를 위해 정합 함수에 안정화 항을 추가하는 기법을 제안한다. 자체 수집한 데이터에 대한 실험결과는 PC 환경에서 초당 100 프레임 수준의 높은 처리 속도 달성을 보여주었다.

In this paper we propose a very rapid moving object tracking method for an object-based auto focus on a smart phone camera. By considering the limit of non-learning approach on low-performance platforms, we use a sliding-window detection technique based on histogram features. By adapting the integral histogram, we solve the problem of the time-consuming histogram computation on each sub-window. For more speed up, we propose a local candidate search, and an adaptive scaling template method. In addition, we propose to apply a stabilization term in the matching function for a stable detection location. In experiments on our dataset, we demonstrated that we achieved a very rapid tracking performance demonstrating over 100 frames per second on a PC environment.

키워드

참고문헌

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