Proceedings of the International Conference
I W S S I P   2005
12th INTERNATIONAL WORKSHOP ON SYSTEMS, SIGNALS & IMAGE PROCESSING

22 - 24 September 2005, Chalkida Greece
 
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding, Systems and Intelligent Techniques)

 Full Citation and Abstract

0 Title: A new object detection algorithm based on adaptive lifting scheme
  Author(s): Mahdi Amiri, Hamid Reza Rabiee
  Address: Digital Media Lab., Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
amiri @ mehr.sharif.edu, rabiee @ sharif.edu
  Reference: SSIP-SP1, 2005  pp. 135 - 138
  Abstract/
Summary
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.
 
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