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      • Department of Electrical and Electronics Engineering
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      Moving object detection in video by detecting non-Gaussian regions in subbands and active contours

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      Author
      Gök, M. Y.
      Çetin, A. Enis
      Date
      2003-09
      Source Title
      Proceedings 2003 International Conference on Image Processing
      Publisher
      IEEE
      Pages
      965 - 968
      Language
      English
      Type
      Conference Paper
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      Abstract
      A multi-stage moving object detection algorithm in video is described in this paper. First, the camera motion is eliminated by motion compensation. An adaptive subband decomposition structure is then used to analyze the difference image. In the high-band subimages, moving objects which produce outliers are detected using a statistical test determining non-Gaussian regions. It turns out that the distribution of the subimage pixels is almost Gaussian in general. But, at the object boundaries the distribution of the pixels in the subimages deviates from Gaussianity due to the existence of outliers. Regions containing moving objects in the original image frame are detected by detecting regions containing outliers in subimages. Finally, active contours are initiated in these regions in the wavelet domain and object boundaries are accurately estimated.
      Keywords
      Algorithms
      Computer simulation
      FIR filters
      Motion compensation
      Spurious signal noise
      Statistical methods
      Vectors
      Wavelet transforms
      High order statistics
      Wavelet domains
      Tracking (position)
      Permalink
      http://hdl.handle.net/11693/27476
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICIP.2003.1247407
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      • Department of Electrical and Electronics Engineering 3524
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