DocumentCode :
3329690
Title :
Automatic design of morphological operators for motion segmentation
Author :
Hirata, Roberto, Jr. ; Barrera, J. ; Flores, F.C. ; Lotufo, R.A.
Author_Institution :
Inst. de Matematica e Estatistica, Sao Paulo Univ., Brazil
fYear :
1999
fDate :
1999
Firstpage :
283
Lastpage :
292
Abstract :
A problem of interest in digital video editing is the elimination of moving objects from one video and the introduction of pieces of other videos in their places. A fundamental problem to build computational tools for this purpose is the segmentation of moving objects. The paper approaches this problem with a novel technique based on Beucher-Meyer´s paradigm (F. Meyer and S. Beucher, 1990), with markers detected by morphological operators designed by computational learning techniques. The objects in the first frames of the video are marked manually and used to train the marker detector. Then, the operator designed is used to mark the objects in the other frames and the paradigm is applied to all frames marked by the detector. Some synthetic and real world examples illustrate the application of the technique proposed. Complex situations such as occlusion are examined
Keywords :
image segmentation; mathematical morphology; motion estimation; video signal processing; automatic design; complex situations; computational learning techniques; computational tools; digital video editing; marker detector; morphological operators; motion segmentation; moving object segmentation; moving objects; occlusion; real world examples; Computer vision; Motion segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics and Image Processing, 1999. Proceedings. XII Brazilian Symposium on
Conference_Location :
Campinas
Print_ISBN :
0-7695-0481-7
Type :
conf
DOI :
10.1109/SIBGRA.1999.805736
Filename :
805736
Link To Document :
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