Moving shadow detection in video using cepstrum
Author
Cogun, F.
Çetin, A. Enis
Date
2013Source Title
International Journal of Advanced Robotic Systems
Print ISSN
1729-8806
Publisher
SAGE
Volume
10
Language
English
Type
ArticleItem Usage Stats
123
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85
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Abstract
Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, a cepstrum-based method for moving shadow detection is presented. The proposed method is tested on outdoor and indoor video sequences using well-known benchmark test sets. To show the improvements over previous approaches, quantitative metrics are introduced and comparisons based on these metrics are made. © 2013 Cogun and Cetin; licensee InTech.
Keywords
1-D cepstrum2-D cepstrum
Cepstral analysis
Moving shadows
Shadow detection
Benchmark tests
Cepstral analysis
Cepstrum
Intelligent video processing
Misclassifications
Moving shadow detection
Moving shadows
Object Tracking
Quantitative metrics
Shadow detections
Video sequences
Benchmarking
Pixels
Video signal processing
Image segmentation
Permalink
http://hdl.handle.net/11693/21116Published Version (Please cite this version)
http://dx.doi.org/10.5772/52942Collections
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