Earticle

초록

영어

This paper addresses the color modeling selection problem for moving cast shadows detection in video sequences. This paper discusses issues related to moving cast shadow detection in video, and also illustrated the performance of shadow detection can be improved significantly through appropriate selection of color space. A Selection of appropriate color space is a very important step in building and detecting cast shadow from video. This paper also reported comparison results of several well-known color models to build shadow model embedded into a globally optimal MRF framework. Experimental results show that for real-time videos CIE L*u*v* color space is the most reliable for shadow detection and suppression and in the second place it is HSV color space.

목차

Abstract
 1. Introduction
 2. Background of Related Work
 3. Color Model as Feature Vector
  3.1. Constant Ratio Rule in Different Color Spaces
 4. Experiments and Evaluation
 5. Conclusion
 References

키워드

저자

• N. Satish Kumar [ Research Scholar (VTU), CSE Department, R V College of Engineering, Bangalore ]
• G. Shobha [ Prof. CSE Department, R V College of Engineering, Bangalore ]

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