Construction of Shadow Model by Robust Features to Illumination Changes-Reference-Cited by-同舟云学术

Construction of Shadow Model by Robust Features to Illumination Changes

Published:2013-10 Issue:4 Volume:1 Page:45-55
ISSN:2166-7160
Container-title:International Journal of Software Innovation
language:en
Short-container-title:

Author:

Ishida Shuya¹,Fukui Shinji²,Iwahori Yuji¹,Bhuyan M. K.³,Woodham Robert J.⁴

Affiliation:

1. Chubu University, Kasugai, Japan

2. Aichi University of Education, Kariya, Japan

3. Department of Electronics and Electrical Engineering, Indian Institutes of Technology, Guwahati, Assam, India

4. Department of Computer Science, University of British Columbia, Vancouver, Canada

Abstract

Methods in the field of computer vision need a shadow detection because shadows often have a harmful effect on a result. A new shadow detection method is proposed in this paper. The proposed method is based on the shadow model. The model is constructed by robust features to illumination changes. The proposed method uses the difference of chrominance (UV) components of luma chrominance (YUV) color space between the background image and the observed image, Normalized Vector Distance, Peripheral Increment Sign Correlation image and edge information. These features remove shadow effects in part. The proposed method can construct the effective shadow model by using the features. In addition, the result is improved by the region based method and the shadow model is updated. The proposed method can extract shadows accurately. Results are demonstrated by the experiments using the real videos.

Publisher

IGI Global

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Science Applications,Software

Reference18 articles.

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