Title :
Moving object segmentation based on statistical motion model
Author :
Lee, Kyu-Won ; Kim, Jinwoong
Author_Institution :
ETRI, Taejon, South Korea
fDate :
9/30/1999 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19991211
