TY - GEN
T1 - Fast fingertips positioning based on distance-based feature pixels
AU - Dung, Le
AU - Mizukawa, Makoto
PY - 2010/12/1
Y1 - 2010/12/1
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
AN - SCOPUS:78751518298
SN - 9781424470587
T3 - ICCE 2010 - 3rd International Conference on Communications and Electronics
SP - 184
EP - 189
BT - ICCE 2010 - 3rd International Conference on Communications and Electronics
T2 - 3rd International Conference on Communications and Electronics, ICCE 2010
Y2 - 11 August 2010 through 13 August 2010
ER -