Browse > Article
http://dx.doi.org/10.9717/kmms.2011.14.5.607

An Illumination and Background-Robust Hand Image Segmentation Method Based on the Dynamic Threshold Values  

Na, Min-Young (서경대학교 컴퓨터공학과)
Kim, Hyun-Jung (서경대학교 컴퓨터공학과)
Kim, Tae-Young (서경대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.14, no.5, 2011 , pp. 607-613 More about this Journal
Abstract
In this paper, we propose a hand image segmentation method using the dynamic threshold values on input images with various lighting and background attributes. First, a moving hand silhouette is extracted using the camera input difference images, Next, based on the R,G,B histogram analysis of the extracted hand silhouette area, the threshold interval for each R, G, and B is calculated on run-time. Finally, the hand area is segmented using the thresholding and then a morphology operation, a connected component analysis and a flood-fill operation are performed for the noise removal. Experimental results on various input images showed that our hand segmentation method provides high level of accuracy and relatively fast stable results without the need of the fixed threshold values. Proposed methods can be used in the user interface of mixed reality applications.
Keywords
Hand Image Segmentation; Background Segmentation; Difference Image; Dynamic Threshold;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. Mitra and T. Acharya, "Gesture Recognition: A Survey," IEEE Trans. on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol.37, No.3, pp.311-324, 2007.   DOI
2 D.Geer, "Will Gesture Recognition Technology Point the Way?," IEEE Computer, 37(10), 20-23, 2004.   DOI
3 T, Starner and A. Pentland, "Real-time American Sign Language Recognition from Video using Hidden Markov Models," MIT Media Lab, MIT Cambridge, MA, Tech Red. TR-375, 1995.
4 S. Malik, C. McDonald, and G. Roth, "Hand tracking for interactive pattern-based augmented reality," Proceedings of International Symposium on Mixed and Augmented Reality, pp. 117-126, 2002.
5 W. Ling, Y. Jia F. Sun, B. Ning, T. Liu, and X. Wu, "Visual Hand Tracking Using MDSA Method," IMACS Multiconference on Computational Engineering in Systems Applications, pp.255-259, 2006.
6 Y. S. Kim, B. S. Soh, and S. G. Lee, "A new wearable input device: SCURRY," IEEE Transactions on Industrial Electronics, Vol.52, No.6, pp.1490-1499, 2005.   DOI   ScienceOn
7 Z. Mo and U. Neumann, "Real-time hand pose recognition using lowresolution depth images," Proc. of CVPR'06, Vol.2, pp.1499-1505, 2006.
8 고민삼, 이광희, 김창우, 안준호, 김인중, "비전기반 제스처 인식을 이용한 사용자 인터페이스 구현," 한국 컴퓨터 종합학술대회 논문집, pp. 507-511, 2008.
9 최준영, 서병국, 박종일, "손동작을 이용한 인간친화형 증강현실 인터페이스," 한양대학교, 2009. 1.
10 이동욱, 김수동, 이동석, 유지상, "마우스 포인터 제어를 위한 실시간 손 인식 알고리즘," 광운대학교.
11 김부년, 김종호, 김태영, "가상 현실 게임 환경에서의손 제어를 위한 사용자 손 인식 방법," 한국게임학회 논문지, pp.49-56, 2010.
12 김종호, 이정진, 김태영, "증강 현실 응용을 위한 손 끝점 추출과 손 동작 인식 기법," 한국 멀티미디어학회 논문지, pp. 316-323, 2010.