Detecting Shadow of Moving Object based on Phong Illumination Model

DOI

10.2991/icismme-15.2015.413How to use a DOI?

Keywords

shadow detection; Phong illumination model; curve fitting; steepest descent direction.

Abstract

When detecting moving objects using visible light image sequence, the shadows of moving objects always appear together with moving objects. Shadows usually change with light condition, which brings difficulty for recognizing objects after segmenting image. This text proposes an algorithm to detect shadows in foreground image according to the Phong illumination model. The algorithm combines the brightness information between foreground image and background image to calculate an array of brightness relative variation ratio, detecting shadows using the statistical feature of shadows in the array. The algorithm uses the statistical histogram to describe statistical feature of brightness relative variation ratio, and the Gaussian model to do curve fitting as a description for the shape of statistical histogram. And finally with the property of the fitted function could we find the threshold value of shadows adaptively.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feipeng Li
AU  - Zongxi Song
AU  - Bin Li
AU  - Meng Jie Wu
AU  - Chao Shen
PY  - 2015/07
DA  - 2015/07
TI  - Detecting Shadow of Moving Object based on Phong Illumination Model
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 2004
EP  - 2007
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.413
DO  - 10.2991/icismme-15.2015.413
ID  - Li2015/07
ER  -