Moving Object Edge Detection and Segmentation using Multi-Wavelets
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 sing...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | 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 |
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ISSN: | 2165-0608 2693-3616 |
DOI: | 10.1109/SIU.2006.1659814 |