원문정보
초록
영어
Hand Gesture recognition systems enable people to interact with digital systems naturally. Due to the spread of body motion capture device, depth information is available for getting more delicate and effective gesture recognition results. However, due to the limitation of devices such as Microsoft Kinect, it is still very difficult to obtain hand gesture information in rela-time. This paper proposes an integrated approach of real-time hand gesture recognition based on feature points. It explains our solutions for hand segmentation and feature points abstraction based on real-time motion captured images. Having been tested with a series of applications, our method is proved to be robust and effective, and suitable for further extension in real-time hand gesture recognition systems.
목차
1. Introduction
2. Related Work
3. Methodology
3.1. Background Separation, Hand Region Extraction and Blob Clustering
3.2. Contour Detection
3.3. Palm Center Positioning
3.4. Fingertip Positioning
4. Experiments
4.1. Compare of Depth Image based and Binary Image based Contour Algorithm
4.2. Comparison of Distance Transform based and Morphological Operation based Palm Center Locating Algorithm
4.3. Experiment of Locating and Labeling Fingertips and Joints
5. Conclusion
Acknowledgements
References