Object Detection Using Dual Lifting

This paper is an approach to extend the functionality and application fields of adaptive lifting. An adaptive lifting scheme is used for detecting user-selected objects in a sequence of images. In this algorithm, first a set of object features in the wavelet transform domain is selected and then an adaptive transform is built using the selected features. The adaptive transform is constructed based on adaptive prediction in a lifting scheme procedure. Adaptive prediction is performed such that, the large coefficients in the high-pass component of the non- adaptive transform vanishes in the high-pass component of the adaptive transform. Finally, both the non-adaptive and adaptive transforms are applied to a given test image and the transform domain coefficients are compared for detecting the object of interest.