Earticle

초록

영어

As smartphones rapidly improve and as their supply increases, not only high quality images but also creative and diverse functions are expected from the cameras mounted on smartphones. In this paper we propose a method of automatic photography shooting by recognizing common hand gestures used during photography shooting. From the image acquired from a smartphone camera, skin area is extracted based on the skin color data value from YCbCr color space in which characteristics of the color of the skin is well expressed. From the extracted skin area, labeling method is applied to analyze contour data, and then skin object is extracted. By using the location data of the fingers, hand area is extracted from the skin object. Then the hand gesture can be recognized by the camera which takes the photograph automatically. We were able to confirm through experiments that recognition speed was fast even under the low-end environment and that it is more effective than smartphone camera’s timers.

목차

Abstract
 1. Introduction
 2. Extraction of Skin Area
 3. Recognition of Hand Gesture
 4. Experiment and Results
 5. Conclusions
 References

키워드

저자

• Kwang Baek Kim [ Department of Computer Engineering, Silla University, Busan, 617-736, Korea ]
• Young Woon Woo [ Department of Multimedia Engineering, Dong-Eui University, Busan, 614-714, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605