Abstract
This paper presents a robust new method to fast and precisely position the fingertip of all open fingers on a skin color detection image. Based on a set of distance-based feature pixels, which are extracted on both the connected component labeling image and distance transform image, a new principle to select the hand region and a new principle to determine the center of the hand in an image have been proposed in this paper. With a clustering procedure and three refining processes on the distance-based feature pixels, the final set of the distance-based feature pixels almost includes only the feature pixels on the open fingers. As the result, the fingertip positions can be determined on this set more easily through a calculation of the Euclidean distances from the distance-based feature pixels to the center of the hand. This proposed method can be carried out fast and accurately, even when the skin color detection image includes a hand, faces and some noise.
| Original language | English |
|---|---|
| Title of host publication | ICCE 2010 - 3rd International Conference on Communications and Electronics |
| Pages | 184-189 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 3rd International Conference on Communications and Electronics, ICCE 2010 - Nha Trang Duration: 2010 Aug 11 → 2010 Aug 13 |
Other
| Other | 3rd International Conference on Communications and Electronics, ICCE 2010 |
|---|---|
| City | Nha Trang |
| Period | 10/8/11 → 10/8/13 |
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Keywords
- Connected component labeling
- Distance transform
- Fingertip positioning
- Hand feature extraction
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Fast fingertips positioning based on distance-based feature pixels. / Dung, Le; Mizukawa, Makoto.
ICCE 2010 - 3rd International Conference on Communications and Electronics. 2010. p. 184-189 5670707.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fast fingertips positioning based on distance-based feature pixels
AU - Dung, Le
AU - Mizukawa, Makoto
PY - 2010
Y1 - 2010
N2 - This paper presents a robust new method to fast and precisely position the fingertip of all open fingers on a skin color detection image. Based on a set of distance-based feature pixels, which are extracted on both the connected component labeling image and distance transform image, a new principle to select the hand region and a new principle to determine the center of the hand in an image have been proposed in this paper. With a clustering procedure and three refining processes on the distance-based feature pixels, the final set of the distance-based feature pixels almost includes only the feature pixels on the open fingers. As the result, the fingertip positions can be determined on this set more easily through a calculation of the Euclidean distances from the distance-based feature pixels to the center of the hand. This proposed method can be carried out fast and accurately, even when the skin color detection image includes a hand, faces and some noise.
AB - This paper presents a robust new method to fast and precisely position the fingertip of all open fingers on a skin color detection image. Based on a set of distance-based feature pixels, which are extracted on both the connected component labeling image and distance transform image, a new principle to select the hand region and a new principle to determine the center of the hand in an image have been proposed in this paper. With a clustering procedure and three refining processes on the distance-based feature pixels, the final set of the distance-based feature pixels almost includes only the feature pixels on the open fingers. As the result, the fingertip positions can be determined on this set more easily through a calculation of the Euclidean distances from the distance-based feature pixels to the center of the hand. This proposed method can be carried out fast and accurately, even when the skin color detection image includes a hand, faces and some noise.
KW - Connected component labeling
KW - Distance transform
KW - Fingertip positioning
KW - Hand feature extraction
UR - http://www.scopus.com/inward/record.url?scp=78751518298&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78751518298&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2010.5670707
DO - 10.1109/ICCE.2010.5670707
M3 - Conference contribution
SN - 9781424470587
SP - 184
EP - 189
BT - ICCE 2010 - 3rd International Conference on Communications and Electronics
ER -