DocumentCode
3489038
Title
Statistical method for motion detection in an image sequence
Author
Guetari, Skander ; Devars, Jean
Author_Institution
Paris VI Univ., France
Volume
2
fYear
1995
fDate
5-8 Sep 1995
Firstpage
764
Abstract
This paper presents a new statistical method based on the theory of large numbers for detection of objects in motion in a sequence of images. The method, relying on the occurrence of images as a function of time, combines a grey-level background construction and a discussion of the gradients calculated on the current image by comparison with a reference image
Keywords
image sequences; motion estimation; number theory; statistical analysis; gradients; grey-level background construction; image sequence; large numbers theory; motion detection; reference image; statistical method; Cameras; Content addressable storage; Cows; Fluctuations; Image segmentation; Layout;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location
Montreal, Que.
ISSN
0840-7789
Print_ISBN
0-7803-2766-7
Type
conf
DOI
10.1109/CCECE.1995.526407
Filename
526407
Link To Document