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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Moving shadow detection in video using cepstrum

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      Author
      Cogun, F.
      Çetin, A. Enis
      Date
      2013
      Source Title
      International Journal of Advanced Robotic Systems
      Print ISSN
      1729-8806
      Publisher
      SAGE
      Volume
      10
      Language
      English
      Type
      Article
      Item 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 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
      Permalink
      http://hdl.handle.net/11693/21116
      Published Version (Please cite this version)
      http://dx.doi.org/10.5772/52942
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      • Department of Electrical and Electronics Engineering 3524
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