키넥트를 이용한 손 인식 인터페이스 기반의 대화식 영상 클리핑 시스템
Kinect-based Hand Recognition Interactive for Interactive Image Clipping System
3
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
We present a Microsoft Kinect-based hand recognition algorithm for an interactive image clipping system, which is widely used for environments such as public facilities and security environments where personal capturing devices including mobile phones are not allowed. User-friendly interface and accurate image capturing function are required for an image clipping system. We build the system by combining Microsoft Kinect, HD webcam and projector. The Kinect and webcam are used to capture the motions of users' hand and project is to display the user-selected area from the capturing material. Hand recognition is composed of three steps: (i) the region occupied by users' hand is extracted from an image, (ii) the fingertips of the extracted hand region are analyzed using k-curvature algorithm, and (iii) the height of the fingertip is estimated using the depth image from Kinect. The height of the fingertip informs whether users' finger touched the surface of the target. The region captured by the fingertip is clipped from the image and stored as the target image. The excellence of our hand recognition algorithm is proved through a user test.
Abstract
We present a Microsoft Kinect-based hand recognition algorithm for an interactive image clipping system, which is widely used for environments such as public facilities and security environments where personal capturing devices including mobile phones are not allowed. User-friendly interface and accurate image capturing function are required for an image clipping system. We build the system by combining Microsoft Kinect, HD webcam and projector. The Kinect and webcam are used to capture the motions of users' hand and project is to display the user-selected area from the capturing material. Hand recognition is composed of three steps: (i) the region occupied by users' hand is extracted from an image, (ii) the fingertips of the extracted hand region are analyzed using k-curvature algorithm, and (iii) the height of the fingertip is estimated using the depth image from Kinect. The height of the fingertip informs whether users' finger touched the surface of the target. The region captured by the fingertip is clipped from the image and stored as the target image. The excellence of our hand recognition algorithm is proved through a user test.
참고문헌 (16)
- "3D hand and finger recognition using Kinect"[URL]
- T. R. Trigo., "An Analysis of features for hand-gesture classification", Proc. of IWSSIP 2010, pp.412~415 (2010)
- P. Premaratne., "Consumer electronics control system based on hand gesture moment invariants", IET Computer Vision, 1(1), pp.35~41 (2007)
- R. Girshicky., "Efficient regression of general-activity human poses from depth images", Proc. of ICCV, 2011, pp.415~422 (2011)
- Y. Sato., "Fast tracking of hands and fingertips in infrared images for augmented desk interface", Proc. of IEEE International Conference on Automatic Face and Gesture Recognition, pp.462~467 (2000)
- I. Oikonomidis., "Efficient model-based 3D tracking of hand articulations using Kinect", Proc. of British Machine Vision Conference, pp.101.1~101.11 (2011)
- C. Keskin., "Realtime hand tracking and 3D gesture recognition for interactive interfaces using HMM", Proc. of International Conference on Artificial Neural Networks (2003)
- Real-time hand tracking and finger tracking for interaction, "S. Malik", CSC2503F, ~ (2003)
- Q. Che, "Real-time vision-based hand tracking and gesture recognition", School of Information Technology and Engineering, pp.2008
- J. Segen., "Shadow gestures : 3D hand pose estimation using a single camera", Proc. CVPR, 1999, pp.479~485 (1999)
- 나민영, "스마트 디바이스 제어를 위한 비전 기반 실시간 손 포즈 및 제스처 인식 방법", 한국차세대컴퓨팅학회 논문지, 8(4), pp.27~34 (2012), 한국차세대컴퓨팅학회
- "Finger and gesture recognition with Microsoft Kinect"[URL]
- G. Bailly., "Comparing Free Hand Menu Techniques for Distant Displays using Linear, Marking and Finger-Count Menus", Proc. of Interact'11, pp.248~262 (2011)
- 윤현철, "Kinect 센서를 사용한 동작기반 게임 캐릭터 애니메이션", 한국컴퓨터게임학회논문지, 26(2), pp.147~153 (2013), (사)한국컴퓨터게임학회
- 원혜민, "유아용 체감형 게임 인터페이스에 적용 가능한 유아의 상반신 동작 데이터베이스 구축", 한국컴퓨터게임학회논문지, 25(2), pp.61~70 (2012), (사)한국컴퓨터게임학회[DOI]
- 임창주, "동작 기반의 기능성게임: "Falling" 개발사례", 한국컴퓨터게임학회논문지, 25(1), pp.117~125 (2012), (사)한국컴퓨터게임학회[DOI]