Title :
Motion estimation and segmentation by fuzzy clustering
Author :
Due, B. ; Schroeter, Philippe ; Bigün, Josef
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
A layered motion estimation scheme using fuzzy clustering is introduced in this paper. Once motion estimation is performed, a label smoothing is applied by using a modified objective function that takes into account spatial continuity. This allows to suppress noisy classes scattered over the whole image
Keywords :
fuzzy set theory; image segmentation; image sequences; motion estimation; smoothing methods; fuzzy clustering; image segmentation; image sequence; label smoothing; layered motion estimation; modified objective function; spatial continuity; Image motion analysis; Image sequences; Laboratories; Motion compensation; Motion estimation; Optical computing; Optical scattering; Robustness; Signal processing; Smoothing methods;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537674
