Optimum multisensor data fusion for image change detection

Author

Jain, Ze-Sun ; Chau, Yawgeng A.

Author_Institution

Dept. of Electr. Eng., Yuan-Ze Inst. of Technol., Chungli, Taiwan

Volume

25

Issue

9

fYear

1995

fDate

9/1/1995 12:00:00 AM

Firstpage

1340

Lastpage

1347

Abstract

Optimum multisensor data fusion is addressed for image change detection based on the optimum likelihood ratio test for the statistical dependence of the luminance signals in additive Gaussian noise. It is demonstrated that the information to be transmitted from the sensors to the fusion center is the maximum likelihood estimates of the correlation coefficients between pairs of consecutive image frames. Experimental results illustrate that the detection error decreases as the number of sensors and/or frames increases

Keywords

CCD image sensors; Gaussian noise; image sequences; maximum likelihood estimation; sensor fusion; additive Gaussian noise; correlation coefficients; detection error; image change detection; image frames; luminance signals; maximum likelihood estimates; optimum likelihood ratio test; optimum multisensor data fusion; statistical dependence; Change detection algorithms; Gaussian noise; Image sensors; Light rail systems; Maximum likelihood estimation; Multisensor systems; Sensor fusion; Sensor systems; Statistics; Testing;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9472

Type

jour

DOI

10.1109/21.414528

Filename

414528