Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
  Systems and Intelligent Techniques

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 | Digital Media Lab., Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

Reference: 12th International Workshop on Systems, Signals and Image Processing 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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