DocumentCode
3413234
Title
A nonlinear correlation algorithm for estimating the motion of multiple objects in an image sequence
Author
Burl, Jeff B.
Author_Institution
Dept. of Electr. Eng., Michigan Technol. Univ., Houghton, MI, USA
Volume
2
fYear
1995
fDate
Oct. 30 1995-Nov. 1 1995
Firstpage
1413
Abstract
A nonlinear correlation algorithm is presented for estimating the motion of objects from a pair of images. The algorithm presented requires no a priori information on the number, size, or shape of the moving objects, and does not require feature extraction or segmentation of either image. The algorithm directly yields information on the number of moving objects, the motion of the objects, and the size of the objects. Additional processing to yield the centroid of the objects (in either frame) is also presented.
Keywords
image sequences; image sequence; motion estimation; moving objects; multiple objects; nonlinear correlation algorithm; object centroid estimation; object size estimation; Equations; Feature extraction; Image motion analysis; Image segmentation; Image sequences; Motion estimation; Nonlinear optics; Pixel; Shape; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-7370-2
Type
conf
DOI
10.1109/ACSSC.1995.540931
Filename
540931
Link To Document