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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Hauptverfasser: Ozkaramali, H., Baradarani, A., Demirel, H., Ozmen, B., Celik, T.
Format: Tagungsbericht
Sprache:eng
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Beschreibung
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
ISSN:2165-0608
2693-3616
DOI:10.1109/SIU.2006.1659814