Proceedings of the International Conference
I W S S I P   2005

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 @, rabiee @
  Reference: SSIP-SP1, 2005  pp. 135 - 138
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.
PDF  View Full PDF
 only subscribers
PDF  Click here to Order On-line

 We welcome your comments about this Article