Title :
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
fDate :
9/1/1995 12:00:00 AM
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;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
