DocumentCode
2229926
Title
Optical flow field estimation of nature scene images
Author
Long, Ma ; Lu-ping, Wang
Author_Institution
ATR Key Lab., Nat. Univ. of Defense Technol., Changsha, China
Volume
3
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Covered-uncovered problem and noise interference are key problems in optical flow estimation of nature scene images. In this paper, the visible scene areas are labeled by visible matrix and the distribution of noise is approximately described with normal probability distribution. The arithmetic expressions of optical flow field in visible scene areas are deduced in the Bayes framework. The results of simulation experiments show that the method is effective.
Keywords
Bayes methods; image sequences; interference; matrix algebra; noise; statistical distributions; Bayes framework; covered-uncovered problem; nature scene images; noise distribution; noise interference; normal probability distribution; optical flow estimation; optical flow field estimation; visible matrix; Image resolution; Optical imaging; Covered-uncovered; Image processing; Noise interference; Optical flow field;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579609
Filename
5579609
Link To Document