Paper
4 May 2009 Shadow detection using 2D cepstrum
Author Affiliations +
Abstract
Shadows constitute a problem in many moving object detection and tracking algorithms in video. Usually, moving shadow regions lead to larger regions for detected objects. Shadow pixels have almost the same chromaticity as the original background pixels but they only have lower brightness values. Shadow regions usually retain the underlying texture, surface pattern, and color value. Therefore, a shadow pixel can be represented as a.x where x is the actual background color vector in 3-D RGB color space and a is a positive real number less than 1. In this paper, a shadow detection method based on two-dimensional (2-D) cepstrum is proposed.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Ugur Toreyin and A. Enis Cetin "Shadow detection using 2D cepstrum", Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 733809 (4 May 2009); https://doi.org/10.1117/12.819053
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Video

Video surveillance

Cameras

Clouds

Detection and tracking algorithms

Flame detectors

Computer vision technology

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