한국산업정보학회논문지 (Journal of Korea Society of Industrial Information Systems)

한국산업정보학회 (Korea Society of Industrial Information Systems)
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깊이 정보를 이용한 가상 터치에서 다중 객체 인식 방법

Recognition method of multiple objects for virtual touch using depth information

  • 권순각 (동의대학교 컴퓨터소프트웨어공학과) ;
  • 이동석 (동의대학교 컴퓨터소프트웨어공학과)
  • 투고 : 2015.12.20
  • 심사 : 2015.12.28
  • 발행 : 2016.02.29
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초록

본 논문에서는 가상 터치방식에서 다중 터치를 인식하는 방법에 대해 제안한다. 가상 터치는 물리적 터치 방법에 비교하여 간단한 깊이 카메라만을 설치하고, 객체 깊이값과 배경의 깊이값의 차이만으로 정확하게 객체를 추출하는 방법으로 저비용으로 구현할 수 있는 장점이 있다. 하지만 다중 터치를 구현함에는 정확도가 떨어지는 문제점이 있다. 본 논문에서는 다중 객체 인식을 위한 이진화, 라벨링, 객체 추적의 알고리즘을 통하여 다중 터치의 정확도를 높이는 방법을 제안한다. 모의실험을 바탕으로 다양한 다중 터치 이벤트를 제공함을 보여준다.

In this paper, we propose how to recognize a multi-touch in the virtual touch type. Virtual touch has an advantage that it is installed only simple depth camera compared to the physical touch manners and it can be implemented with low cost for extracting an object exactly from only the difference of the depth values between the object and background. However, the accuracy for implementing the multi-touch has lowered. This paper presents a method to increase the accuracy of the multi-touch through the algorithms of binarization, labelling, and object tracking for multi-object recognition. Simulation results show that the proposed method can provide a variety of multi-touch events.

키워드

참고문헌

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피인용 문헌

  1. Depth Video Coding Method for Spherical Object vol.21, pp.6, 2016, https://doi.org/10.9723/jksiis.2016.21.6.023
  2. 시간 상관관계를 이용한 분산 압축 비디오 센싱 기법의 복원 화질 개선 vol.22, pp.2, 2017, https://doi.org/10.9723/jksiis.2017.22.2.027
  3. 깊이영상을 이용한 사람의 키 추정 방법 vol.22, pp.2, 2016, https://doi.org/10.9723/jksiis.2017.22.2.053
  4. 깊이 영상으로 사용자 키 검출 및 동작감지를 사용한 캐릭터 플로팅 홀로그램 vol.23, pp.4, 2016, https://doi.org/10.9723/jksiis.2018.23.4.033