Robust hand detection for augmented reality interface
- Authors
- Choi, Junyeong; Seo, Byung-Kuk; Park, Jong-Il
- Issue Date
- Dec-2009
- Publisher
- Association for Computing Machinery
- Keywords
- Augmented reality interface; Hand detection; Hand gesture recognition
- Citation
- Proceedings - VRCAI 2009: 8th International Conference on Virtual Reality Continuum and its Applications in Industry, pp.319 - 321
- Indexed
- SCOPUS
- Journal Title
- Proceedings - VRCAI 2009: 8th International Conference on Virtual Reality Continuum and its Applications in Industry
- Start Page
- 319
- End Page
- 321
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175685
- DOI
- 10.1145/1670252.1670324
- Abstract
- For interactive augmented reality, vision-based and hand-gesture-based interface are most desirable due to being natural and human-friendly. However, detecting hands and recognizing hand gestures in cluttered background are still challenging. Especially, if the background includes a large skin-colored region, the problem becomes more difficult. In this paper, we focus on detecting a hand reliably and propose an effective method. Our method is basically based on the assumption that a hand-forearm region (including a hand and part of a forearm) has different brightness from other skin-colored regions. Specifically, we first segment the hand-forearm region from other skin-colored regions based on the brightness difference which is represented by edges in this paper. Then, we extract the hand region from the hand-forearm region by detecting a feature point which indicates the wrist. Finally, we extract the hand by using the brightness-based segmentation which is slightly different from the hand-forearm region detection. We verify the effectiveness of our method by implementing a simple hand gesture interface based on our method and applying it to augmented reality applications.
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