Moving cast shadow resistant for foreground segmentation based on shadow properties analysis

Hao Zhou; Yun Gao; Guowu Yuan; Rongbin Ji

doi:10.1117/12.2228372

8 December 2015 Moving cast shadow resistant for foreground segmentation based on shadow properties analysis

Hao Zhou, Yun Gao, Guowu Yuan, Rongbin Ji

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750B (2015) https://doi.org/10.1117/12.2228372
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

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.

Citation Download Citation

Hao Zhou, Yun Gao, Guowu Yuan, and Rongbin Ji "Moving cast shadow resistant for foreground segmentation based on shadow properties analysis", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750B (8 December 2015); https://doi.org/10.1117/12.2228372

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