NDLI: Tracking and detection of moving point targets in noise image sequences by local maximum likelihood

Content Provider	IEEE Xplore Digital Library
Author	Yi Sun
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA (Yi Sun)
Abstract	A pair of tracking and detection algorithms are proposed. The tracking is accomplished by many tracking blocks that have a size equal to the maximum velocity of the moving target. At the initial stage, the tracking blocks cover the whole image plane without overlap. A a tracking block adaptively moves so that its center moves to the pixel that has the largest intensity in the region covered by the block and the largest intensity is recorded. The detection is based on the pixel intensities recorded by each tracking block. The asymptotic probability that any pixel in the image plane is covered by some tracking blocks is shown to be l-e/sup -1/. The performance is analyzed and is fairly high. The results of simulation tests confirm to the theoretical analysis.
Starting Page	799
Ending Page	802
File Size	379127
Page Count	4
File Format	PDF
ISBN	0780332598
DOI	10.1109/ICIP.1996.560856
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-19
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection Target tracking Image sequences Pixel Trajectory Detection algorithms Performance analysis Gaussian noise Signal to noise ratio Sun
Content Type	Text
Resource Type	Article

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