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book chapter · Advances in information security, privacy, and ethics book series

Effective Moving Object Detection Using Background Subtraction in Stationary Wavelet Domain

Abstract

Moving object detection is a fundamental task on smart CCTV systems, as it provides a focal point for further investigation. In this study, an algorithm for moving object detection in video, which is thresholded using a stationary wavelet transform (SWT), is developed. In the detection steps, the authors perform a background subtraction algorithm; the obtained results are decomposed using discrete stationary wavelet transform 2D, and the coefficients are thresholded using Birge-Massart strategy. This leads to an efficient calculation method and system compared to existing traffic estimation methods.

Research topics

  • Image and Signal Denoising Methods
  • Advanced Data Compression Techniques
  • Advanced Image Fusion Techniques

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DOI: 10.4018/978-1-6684-4945-5.ch008

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