The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Comparison of five color models in skin pixel classification
Abstract
Detection of skin in video is an important component of systems for detecting, recognizing, and tracking faces and hands. Different skin detection methods have used different color spaces. This paper presents a comparative evaluation of pixel classification performance of two skin detection methods in five color spaces. The skin detection methods used in this paper are color-histogram based approaches that are intended to work with a wide variety of individuals, lighting conditions, and skin tones. One is the widely-used lookup table method, the other makes use of Bayesian decision theory. Two types of enhancements, based on spatial and texture analyses, are also evaluated.
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Citations
Cites
Segmentation and tracking of faces in color images
Sobottka, K., & Pitas, I. (2002) · Proceedings of the Second International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1996.557270 · Cited by 157
Terrillon, J.-C., David, M., & Akamatsu, S. (2002) · Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1998.670934 · Cited by 144
Face and facial feature extraction from color image
Wu, H., Yokoyama, T., Pramadihanto, D., & Yachida, M. (2002) · Proceedings of the Second International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1996.557289 · Cited by 55
Cited by
Online selection of discriminative tracking features
Collins, R. T., Liu, Y., & Leordeanu, M. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.205 · Cited by 1,208
Human Skin Detection Using RGB, HSV and YCbCr Color Models
Kolkur, S., Kalbande, D., Shimpi, P., Bapat, C., & Jatakia, J. (2017) · Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016) · doi:10.2991/iccasp-16.2017.51 · Cited by 226
Algorithms for Monitoring Heart Rate and Respiratory Rate From the Video of a User’s Face
Sanyal, S., & Nundy, K. K. (2018) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2018.2818687 · Cited by 125
Metadata
- Authors
- Zarit, B. D., Super, B. J., & Quek, F. K. H.
- Venue
- Proceedings International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99 (Cat. No.PR00378)
- Publisher
- IEEE Comput. Soc
- Published
- 2003-01-20
- Pages
- 58-63
- OpenAlex
- W1929963669
- Cited by
- 333
- References
- 3
- FWCI
- 15.55
- Type
- conference paper
- Language
- en
- Open access
- closed
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