The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Real-time fingertip tracking and gesture recognition
Abstract
Augmented desk interfaces and other virtual reality systems depend on accurate, real-time hand and fingertip tracking for seamless integration between real objects and associated digital information. We introduce a method for discerning fingertip locations in image frames and measuring fingertip trajectories across image frames. We also propose a mechanism for combining direct manipulation and symbolic gestures based on multiple fingertip motions. Our method uses a filtering technique, in addition to detecting fingertips in each image frame, to predict fingertip locations in successive image frames and to examine the correspondences between the predicted locations and detected fingertips. This lets us obtain multiple complex fingertip trajectories in real time and improves fingertip tracking. This method can track multiple fingertips reliably even on a complex background under changing lighting conditions without invasive devices or color markers.
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Cites
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Cited by
Multimodal Gesture Recognition Based on the ResC3D Network
Miao, Q., Li, Y., Ouyang, W., Ma, Z., Xu, X., Shi, W., & Cao, X. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) · doi:10.1109/iccvw.2017.360 · Cited by 168
Metadata
- Authors
- Oka, K., Sato, Y., & Koike, H.
- Venue
- IEEE Computer Graphics and Applications
- Published
- 2002-11
- Volume
- 22
- Issue
- 6
- Pages
- 64-71
- ISSN
- 0272-1716 (ISSN-L)
- OpenAlex
- W2142310655
- Cited by
- 263
- References
- 1
- FWCI
- 12.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- Oka, K., Sato, Y., & Koike, H. (2002). Real-time fingertip tracking and gesture recognition. IEEE Computer Graphics and Applications. https://doi.org/10.1109/mcg.2002.1046630
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