Moving shadow detection in video using cepstrum
Date
2013
Authors
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
International Journal of Advanced Robotic Systems
Print ISSN
1729-8806
Electronic ISSN
Publisher
SAGE
Volume
10
Issue
Pages
Language
English
Type
Journal Title
Journal ISSN
Volume Title
Series
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.
Course
Other identifiers
Book Title
Keywords
1-D cepstrum , 2-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