Cepstrum based method for moving shadow detection in video
Date
2010-09
Authors
Advisor
Instructor
Source Title
Proceedings of the 25th International Symposium on Computer and Information Sciences, 2010
Print ISSN
Electronic ISSN
Publisher
Springer
Volume
Issue
Pages
299 - 304
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract
Moving shadows constitute problems in various applications such as image segmentation and object tracking. 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, the 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. © 2011 Springer Science+Business Media B.V.
Course
Other identifiers
Book Title
Keywords
Benchmark tests, Cepstrum, Intelligent video processing, Misclassifications, Moving shadow detection, Object Tracking, Quantitative metrics, Shadow detections, Video sequences, Information science, Pixels, Tracking (position), Video recording, Image segmentation