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Object detection based on weighted adaptive prediction in lifting scheme transform

Amiri, M ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1109/ISM.2006.118
  3. Publisher: 2006
  4. Abstract:
  5. This paper presents a new algorithm for detecting user-selected objects in a sequence of images based on a new weighted adaptive lifting scheme transform. In our algorithm, we first select a set of coefficients as object features in the wavelet transform domain and then build an adaptive transform considering the selected features. The goal of the designed adaptive transform is to "vanish" the selected features as much as possible in the transform domain. After applying both non-adaptive and adaptive transforms to a given test image, the corresponding transform domain coefficients are compared for detecting the object of interest. We have verified our claim with experimental results on 1-D signals and real images. © 2006 IEEE
  6. Keywords:
  7. Adaptive lifting scheme (ALS) ; Adaptive predictions ; Adaptive transform ; Experimental results ; International symposium ; Lifting schemes ; New algorithm ; object detection ; Object features ; Object of interest (OOI) ; Real images ; Test images ; Transform domains ; Wavelet transform domain ; Adaptive algorithms ; Boolean functions ; Image enhancement ; Motion compensation ; Technical presentations ; Wavelet transforms ; Mathematical transformations
  8. Source: ISM 2006 - 8th IEEE International Symposium on Multimedia, San Diego, CA, 11 December 2006 through 13 December 2006 ; 2006 , Pages 652-656 ; 0769527469 (ISBN); 9780769527468 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4061227?reload=true&arnumber=4061227