Fast fingertips positioning based on distance-based feature pixels

Le Dung, Makoto Mizukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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 languageEnglish
Title of host publicationICCE 2010 - 3rd International Conference on Communications and Electronics
Pages184-189
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event3rd International Conference on Communications and Electronics, ICCE 2010 - Nha Trang, Viet Nam
Duration: 2010 Aug 112010 Aug 13

Publication series

NameICCE 2010 - 3rd International Conference on Communications and Electronics

Conference

Conference3rd International Conference on Communications and Electronics, ICCE 2010
Country/TerritoryViet Nam
CityNha Trang
Period10/8/1110/8/13

Keywords

  • Connected component labeling
  • Distance transform
  • Fingertip positioning
  • Hand feature extraction

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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