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Author Vaidya, V.G. ♦ Haralick, R.M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1992
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Kernel ♦ Motion estimation ♦ Object detection ♦ Optical noise ♦ Parameter estimation ♦ Layout ♦ Working environment noise ♦ Image sequences ♦ Equations ♦ Intelligent systems
Abstract A method for estimating 2D image sequences using the generalized time-frequency representation (GTFR) is presented. The performance characterization is based on 20000 simulated noisy images. The results show that even with a signal to noise ratio (SNR) of 5 db, rectangular objects of at least 4 pixels in length and width can be detected, to within 2.5 pixel location accuracy. The misdetection rate is near zero, and the average false detection rate is 0.06 false objects per frame of 64*64 size in a 5 db SNR environment. With -1 db SNR, objects can be detected within 5 pixel accuracy. The misdetection rate for this case is near zero and the average false detection rate is 1.6 false objects per frame of 64*64 size. The method is also applied to an image sequence obtained from a 747 takeoff scene. The 747 takeoff speed was predicted to be 142 kts, which is well within the typical range of 140 to 150 kts.
Description Author affiliation: Dept. of Electr. Eng., Washington Univ, Seattle, WA, USA (Vaidya, V.G.; Haralick, R.M.)
ISBN 0780308050
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1992-10-04
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 269.08 kB
Page Count 4
Starting Page 535
Ending Page 538

Source: IEEE Xplore Digital Library