DocumentCode :
3001151
Title :
Segmentation and 2-D motion estimation of noisy image sequences
Author :
Kalivas, Dimitrios S. ; Sawchuk, Alexander A. ; Chellappa, Rama
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
1076
Abstract :
Two of the most important problems in scene analysis of image sequences are the segmentation of image frames into moving and nonmoving components and the 2-D motion estimation of the moving parts of the scene. The algorithm has two parts: segmentation and 2-D motion estimation. These two parts are interactively connected in a mutually beneficial way. The authors concentrate on the 2-D motion estimation problem assuming that the segmentation has been performed. Two algorithms for 2-D motion estimation are presented. The first is based on the method of differentials, while the second is a boundary matching method
Keywords :
computerised picture processing; estimation theory; 2-D motion estimation; boundary matching method; image frame segmentation; method of differentials; moving components; noisy image sequences; nonmoving components; scene analysis; Computer vision; Image analysis; Image edge detection; Image processing; Image segmentation; Image sequences; Layout; Motion analysis; Motion estimation; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196781
Filename :
196781
Link To Document :
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