메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject

Skin Color Based Hand and Finger Detection for Gesture Recognition in CCTV Surveillance
Recommendations
Search
Questions

CCTV 관제에서 동작 인식을 위한 색상 기반 손과 손가락 탐지

논문 기본 정보

Type
Academic journal
Author
Sung-Kwan Kang (인하대학교) Kyung-Yong Chung (상지대학교) Kee-Wook Rim (선문대학교) Jung-Hyun Lee (인하대학교)
Journal
The Korea Contents Society JOURNAL OF THE KOREA CONTENTS ASSOCIATION Vol.11 No.10 KCI Accredited Journals
Published
2011.10
Pages
1 - 10 (10page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Skin Color Based Hand and Finger Detection for Gesture Recognition in CCTV Surveillance
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
In this paper, we proposed the skin color based hand and finger detection technology for the gesture recognition in CCTV surveillance. The aim of this paper is to present the methodology for hand detection and propose the finger detection method. The detected hand and finger can be used to implement the non-contact mouse. This technology can be used to control the home devices such as home-theater and television. Skin color is used to segment the hand region from background and contour is extracted from the segmented hand. Analysis of contour gives us the location of finger tip in the hand. After detecting the location of the fingertip, this system tracks the fingertip by using only R channel alone, and in recognition of hand motions to apply differential image , such as the removal of useless image shows a robust side. We explain about experiment which relates in fingertip tracking and finger gestures recognition, and experiment result shows the accuracy above 96%.

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. CCTV 관제에서 인식 시스템
Ⅲ. CCTV 관제에서 색상 기반 손과 손가락 탐지
Ⅳ. 실험 결과
Ⅴ. 결론
참고문헌
저자소개

References (22)

Add References

Related Authors

Frequently Viewed Together

Recently viewed articles

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2013-004-000887568