Earticle

초록

영어

Vision based computer interface systems provides an easy way for human to communicate with computer or machine. At an early stage of development of these system i.e. detection and tracking of objects, some parameter or feature of human body are utilized for this purpose. Skin color has proven to be the most useful and robust parameter for detection and tracking of objects in real time. Skin color detection is basically divided into two class pixel based and region based. This paper presents an overview of pixel based skin color classifier proposed by various authors with their advantages and disadvantages. The performance assessment of these methods given by various authors is also discussed here.

목차

Abstract
 1. Introduction
 2. Skin Color Classifiers
  2.1 Explicitly Defined Skin Region
  2.2 Non-Parametric Methods
  2.3 Parametric Methods
 3. Classifier Discussion
 4. Comparative Assessment
 5. Conclusion
 References

키워드

저자

• Amit Kumar [ Chitkara University, Punjab, India ]
• Shivani Malhotra [ Chitkara University, Punjab, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605