A renovated algorithm for extracting moving target from background in real time video tracking system

Author

Sipei, Chen ; Zongjie, Li ; Guilin, Zhang

Author_Institution

Inst. of Pattern Recognition, Huazhong Univ. of Sci. & Technol., Wuhan, Hubei, China

fYear

1988

Firstpage

646

Abstract

An algorithm is presented for extracting a moving target from the background. It combines the continuity information of the target with Bayesian decision theory to segment the video images without any a priori knowledge. Experiments with an IBM-PC computer on a large number of video images have shown that this algorithm performs better than other segmentation schemes. It can be implemented for real-time operation and is especially useful for the real-time videotheodolite (RTV)

Keywords

Bayes methods; computer vision; computerised pattern recognition; computerised picture processing; microcomputer applications; real-time systems; tracking; video signals; Bayesian decision theory; IBM-PC computer; computer vision; continuity information; moving target extraction; pattern recognition; picture processing; real time video tracking system; segmentation; video images; videotheodolite; Bayesian methods; Costs; Data mining; Decision theory; Image segmentation; Iterative algorithms; Pattern recognition; Pixel; Real time systems; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1988., 9th International Conference on

Conference_Location

Rome

Print_ISBN

0-8186-0878-1

Type

conf

DOI

10.1109/ICPR.1988.28316

Filename

28316