
Proceedings Paper
Moving cast shadow resistant for foreground segmentation based on shadow properties analysisFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
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
Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)
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
Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)
© SPIE. Terms of Use
