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A new object detection algorithm based on adaptive lifting scheme

Amiri, M ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. Publisher: 2005
  3. Abstract:
  4. This paper presents a new algorithm for detecting user-selected objects in a sequence of images based on adaptively lifted wavelet transforms. In our algorithm, we first select a set of object features in the wavelet transform domain and then build a new transform by using the selected features. The new wavelet transform is constructed based on adaptive prediction in a lifting scheme structure. Adaptive prediction is performed such that, the large coefficients in the high-pass component of the old transform, vanish in the high-pass component of the new transform. Finally, both of the old and new transforms are applied to a given test image and the transform domain coefficients are compared for detecting the object of interest. We have verified our claim with experimental results on real images. Copyright © 2005 Inderscience Enterprises Ltd
  5. Keywords:
  6. Adaptive lifting scheme ; Object detection ; Adaptive algorithms ; High pass filters ; Image analysis ; Wavelet transforms ; Algorithms
  7. Source: IWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005), Chalkida, 22 September 2005 through 24 September 2005 ; 2005 , Pages 133-136 ; 0907776205 (ISBN); 9780907776208 (ISBN)