Moving object edge detection and segmentation using multi-wavelets

Abstract

Moving object edge detection and segmentation method is presented with utilizing multi-wavelets. The subsequent segmentation of moving objects is achieved by binary morphological operations. The proposed multi-wavelet based method is compared with the methods based on scalar wavelets using both single and double change detection techniques. The simulation results indicate that multi-wavelets with repeated row pre-processing employing double change detection method outperform scalar wavelet-based methods in the number of detected moving edges and better preserve the moving edges. As a result the quality of moving object segmentation has been improved over the scalar methods.