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Proceedings Paper

Moving cast shadow resistant for foreground segmentation based on shadow properties analysis
Author(s): Hao Zhou; Yun Gao; Guowu Yuan; Rongbin Ji
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Paper Abstract

Moving object detection is the fundamental task in machine vision applications. However, moving cast shadows detection is one of the major concerns for accurate video segmentation. Since detected moving object areas are often contain shadow points, errors in measurements, localization, segmentation, classification and tracking may arise from this. A novel shadow elimination algorithm is proposed in this paper. A set of suspected moving object area are detected by the adaptive Gaussian approach. A model is established based on shadow optical properties analysis. And shadow regions are discriminated from the set of moving pixels by using the properties of brightness, chromaticity and texture in sequence.

Paper Details

Date Published: 8 December 2015
PDF: 9 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750B (8 December 2015); doi: 10.1117/12.2228372
Show Author Affiliations
Hao Zhou, Yunnan Univ. (China)
Kunming Institute of Physics (China)
Yun Gao, Yunnan Univ. (China)
Guowu Yuan, Yunnan Univ. (China)
Rongbin Ji, Kunming Institute of Physics (China)

Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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