Shadow detection using 2D cepstrum

B. Ugur Toreyin; A. Enis Cetin

doi:10.1117/12.819053

Shadow detection using 2D cepstrum

B. Ugur Toreyin, A. Enis Cetin

Bilkent University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

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.

Original language	English
Title of host publication	Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII
DOIs	https://doi.org/10.1117/12.819053
Publication status	Published - 2009
Externally published	Yes
Event	Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII - Orlando, FL, United States Duration: 14 Apr 2009 → 15 Apr 2009

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7338
ISSN (Print)	0277-786X

Conference

Conference	Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII
Country/Territory	United States
City	Orlando, FL
Period	14/04/09 → 15/04/09

Keywords

2-D Cepstrum
Shadow detection in video

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10.1117/12.819053

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@inproceedings{09f821b983b54591989941acac5cd604,

title = "Shadow detection using 2D cepstrum",

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.",

keywords = "2-D Cepstrum, Shadow detection in video",

author = "Toreyin, {B. Ugur} and Cetin, {A. Enis}",

year = "2009",

doi = "10.1117/12.819053",

language = "English",

isbn = "9780819476043",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII",

note = "Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII ; Conference date: 14-04-2009 Through 15-04-2009",

}

Toreyin, BU & Cetin, AE 2009, Shadow detection using 2D cepstrum. in Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII., 733809, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, Orlando, FL, United States, 14/04/09. https://doi.org/10.1117/12.819053

TY - GEN

T1 - Shadow detection using 2D cepstrum

AU - Toreyin, B. Ugur

AU - Cetin, A. Enis

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - 2-D Cepstrum

KW - Shadow detection in video

UR - http://www.scopus.com/inward/record.url?scp=69849086840&partnerID=8YFLogxK

U2 - 10.1117/12.819053

DO - 10.1117/12.819053

M3 - Conference contribution

AN - SCOPUS:69849086840

SN - 9780819476043

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII

T2 - Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII

Y2 - 14 April 2009 through 15 April 2009

ER -

Shadow detection using 2D cepstrum

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