DocumentCode
1282282
Title
Moving object segmentation based on statistical motion model
Author
Lee, Kyu-Won ; Kim, Jinwoong
Author_Institution
ETRI, Taejon, South Korea
Volume
35
Issue
20
fYear
1999
fDate
9/30/1999 12:00:00 AM
Firstpage
1719
Lastpage
1720
Abstract
An efficient algorithm for rigid or nonrigid moving object segmentation in the static camera environment is proposed. For robust motion detection, the algorithm performs statistical modelling of the moving objects and background and detects moving pixels by the Bayes decision method with a Gaussian blurred background probability density function
Keywords
Bayes methods; image segmentation; object recognition; statistical analysis; Bayes decision method; Gaussian blurred background; moving object segmentation; moving pixels; nonrigid moving object; probability density function; rigid moving object; robust motion detection; static camera environment; statistical modelling; statistical motion model;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19991211
Filename
811140
Link To Document