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Review Article | Open Access

An evaluation of moving shadow detection techniques

School of Computing, Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.
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Abstract

Shadows of moving objects may cause serious problems in many computer vision applications, including object tracking and object recognition. In common object detection systems, due to having similar characteristics, shadows can be easily misclassified as either part of moving objects or independent moving objects. To deal with the problem of misclassifying shadows as foreground, various methods have been introduced. This paper addresses the main problematic situations associated with shadows and provides a comprehensive performance comparison on up-to-date methods that have been proposed to tackle these problems. The evaluation is carried out using benchmark datasets that have been selected and modified to suit the purpose. This survey suggests the ways of selecting shadow detection methods under different scenarios.

Keywords

moving shadow detectionproblematic situationsshadow featuresshadow detection methods

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Computational Visual Media
Volume 2 Issue 3,
September 2016
Pages 195-217
DOI: 10.1007/s41095-016-0058-0
Cite this article:
Russell M, Zou JJ, Fang G. An evaluation of moving shadow detection techniques. Computational Visual Media, 2016, 2(3): 195-217. https://doi.org/10.1007/s41095-016-0058-0

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Revised: 06 April 2016
Accepted: 20 July 2016
Published: 19 August 2016
© The Author(s) 2016

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