Earticle

초록

영어

This paper introduces a hybrid approach that is based on color information that utilizes a mask and K-Means clustering algorithm along with the frame averaging background subtraction technique. This hybrid approach efficiently removes artifacts caused by lightening changes such as highlight and reflection from segmentation, while also successfully removing shadows of stationary objects and dark cast shadows. Dark cast shadows cause an issue with tracking and detection. To eradicate these shadows, we first create a mask by assigning values to R, G and B channels utilizing the shadow properties to this RGB color individually, and then we apply K-Means clustering algorithm to this mask for efficient removal. Simulation results from several video sequences with different scene conditions also reveal the effectiveness and robustness of the proposed algorithm.

목차

Abstract
 1. Introduction
 2. Overview of Shadow Abolition
  2.1. Background subtraction
  2.2. Dark Cast Shadow Removal
 3. Proposed Algorithm
 4. Results and Discussions
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Anuva Chowdhury [ School of Electrical Engineering, University of Ulsan, Ulsan, Korea ]
• Ui-Pil Chong [ School of Electrical Engineering, University of Ulsan, Ulsan, 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