DocumentCode :
1722959
Title :
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
Link To Document :
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