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Construction of Shadow Model by Robust Features to Illumination Changes

Construction of Shadow Model by Robust Features to Illumination Changes

Shuya Ishida, Shinji Fukui, Yuji Iwahori, M. K. Bhuyan, Robert J. Woodham
Copyright: © 2013 |Volume: 1 |Issue: 4 |Pages: 11
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781466635975|DOI: 10.4018/ijsi.2013100104
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MLA

Ishida, Shuya, et al. "Construction of Shadow Model by Robust Features to Illumination Changes." IJSI vol.1, no.4 2013: pp.45-55. http://doi.org/10.4018/ijsi.2013100104

APA

Ishida, S., Fukui, S., Iwahori, Y., Bhuyan, M. K., & Woodham, R. J. (2013). Construction of Shadow Model by Robust Features to Illumination Changes. International Journal of Software Innovation (IJSI), 1(4), 45-55. http://doi.org/10.4018/ijsi.2013100104

Chicago

Ishida, Shuya, et al. "Construction of Shadow Model by Robust Features to Illumination Changes," International Journal of Software Innovation (IJSI) 1, no.4: 45-55. http://doi.org/10.4018/ijsi.2013100104

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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.

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