Fingertips detection and tracking based on active shape models and an ellipse

Sooyeon Kim, Younjung Park, Kyungmin Lim, Hyobin Lee, Sangki Kim, Sangyoun Lee

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

4 Citations (Scopus)

Abstract

Detecting and tracking fingertips are significant techniques for recognizing hand gestures. Many patterns and skin color information are used to extract and trace features [1, 2]. However, to find correct shapes is difficult and there is limitation to express the diversity of models. In this paper, we describe a method of detecting and tracking fingertips based on Active Shape Models (ASMs) and an ellipse equation. ASM is an effective tool to obtain features of a specific object in images by using a trained model. The ellipse equation helps a template follow the object without skin color information. We show how well fingertips are extracted and traced through some experiments.

Original languageEnglish
Title of host publicationTENCON 2009 - 2009 IEEE Region 10 Conference
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE Region 10 Conference, TENCON 2009 - Singapore, Singapore
Duration: 2009 Nov 232009 Nov 26

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other2009 IEEE Region 10 Conference, TENCON 2009
CountrySingapore
CitySingapore
Period09/11/2309/11/26

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Kim, S., Park, Y., Lim, K., Lee, H., Kim, S., & Lee, S. (2009). Fingertips detection and tracking based on active shape models and an ellipse. In TENCON 2009 - 2009 IEEE Region 10 Conference [5395998] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2009.5395998