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

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

doi:10.1109/TENCON.2009.5395998

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

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	TENCON 2009 - 2009 IEEE Region 10 Conference
DOIs	https://doi.org/10.1109/TENCON.2009.5395998
Publication status	Published - 2009
Event	2009 IEEE Region 10 Conference, TENCON 2009 - Singapore, Singapore Duration: 2009 Nov 23 → 2009 Nov 26

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other	2009 IEEE Region 10 Conference, TENCON 2009
Country/Territory	Singapore
City	Singapore
Period	09/11/23 → 09/11/26

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON.2009.5395998

Cite this

@inproceedings{48725d4b064043f09647d4683a80e116,

title = "Fingertips detection and tracking based on active shape models and an ellipse",

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.",

author = "Sooyeon Kim and Younjung Park and Kyungmin Lim and Hyobin Lee and Sangki Kim and Sangyoun Lee",

year = "2009",

doi = "10.1109/TENCON.2009.5395998",

language = "English",

isbn = "9781424445479",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

booktitle = "TENCON 2009 - 2009 IEEE Region 10 Conference",

note = "2009 IEEE Region 10 Conference, TENCON 2009 ; Conference date: 23-11-2009 Through 26-11-2009",

}

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, 2009 IEEE Region 10 Conference, TENCON 2009, Singapore, Singapore, 09/11/23. https://doi.org/10.1109/TENCON.2009.5395998

TY - GEN

T1 - Fingertips detection and tracking based on active shape models and an ellipse

AU - Kim, Sooyeon

AU - Park, Younjung

AU - Lim, Kyungmin

AU - Lee, Hyobin

AU - Kim, Sangki

AU - Lee, Sangyoun

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77951126888&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951126888&partnerID=8YFLogxK

U2 - 10.1109/TENCON.2009.5395998

DO - 10.1109/TENCON.2009.5395998

M3 - Conference contribution

AN - SCOPUS:77951126888

SN - 9781424445479

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

BT - TENCON 2009 - 2009 IEEE Region 10 Conference

T2 - 2009 IEEE Region 10 Conference, TENCON 2009

Y2 - 23 November 2009 through 26 November 2009

ER -

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

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