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A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets
April 1990 (vol. 12 no. 4)
pp. 398-401
ASCII Text
x 
 
B. Porat, B. Friedlander, "A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 4, pp. 398-401, April, 1990.
 
 
BibTex
x
 
@article{ 10.1109/34.50625,
author = {B. Porat and B. Friedlander},
title = {A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {12},
number = {4},
issn = {0162-8828},
year = {1990},
pages = {398-401},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.50625},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets
IS - 4
SN - 0162-8828
SP398
EP401
EPD - 398-401
A1 - B. Porat,
A1 - B. Friedlander,
PY - 1990
KW - fast Fourier transforms; computerised picture processing; multiframe estimation; trajectories estimation; frequency domain algorithm; multiframe detection; dim targets; moving targets; imaging sensors; directional filtering; detection probabilities; computerised picture processing; fast Fourier transforms; filtering and prediction theory; tracking systems
VL - 12
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

An algorithm for detecting moving targets by imaging sensors and estimating their trajectories is proposed. The algorithm is based on directional filtering in the frequency domain, using a bank of filters for all possible target directions. The directional filtering effectively integrates the target signal, resulting in an improved signal-to-noise ratio. Working in the frequency domain facilitates a considerable reduction in computational requirements compared to time-domain algorithms. The algorithm is described in detail, and its false alarm and detection probabilities are analyzed.

[1] N. C. Mohanty, "Computer tracking of moving point targets in space,"IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-3, no. 5, pp. 606-611, Sept. 1981.
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[3] I. S. Reed, R. M. Gagliardi, and H. M. Shao, "Application of three-dimensional filtering to moving target detection,"IEEE Trans. Aerospace Electron. Syst., vol. AES-19, no. 6, pp. 898-905, Nov. 1983.
[4] B. Friedlander and B. Porat, "Performance analysis of multiframe detection algorithms for tracking dim targets from IR imagery," Saxpy Computer Corp., Rep. 86-33-01, Sept. 1986.
[5] E. H. Adelson and J. R. Bergen, "Spatiotemporal energy models for the perception of motion,"J. Opt. Soc. Amer. A, vol. 2, no. 2, pp. 248-299, 1985.
[6] A. B. Watson and A. J. Ahumada, "Model of human visual motion sensing,"J. Opt. Soc. Amer. A, vol. 2, no. 1, pp. 322-342, 1985.
[7] D. J. Heeger, "Optical flow from spatiotemporal filters," inProc. First Int. Conf. Computer Vision, 1987, pp. 181-190.
[8] R. C. Bolles, H. H. Baker, and D. H. Marimont, "Epipolar-plane image analysis: An approach to determining structure from motion,"Int. J. Computer Vision, pp. 7-55, 1987.
[9] B. Friedlander and B. Porat, "Performance analysis of multiframe detection algorithms," Saxpy Computer Corp., Final Rep. TM1000- 01, Jan. 1987.

Index Terms:
fast Fourier transforms; computerised picture processing; multiframe estimation; trajectories estimation; frequency domain algorithm; multiframe detection; dim targets; moving targets; imaging sensors; directional filtering; detection probabilities; computerised picture processing; fast Fourier transforms; filtering and prediction theory; tracking systems
Citation:
B. Porat, B. Friedlander, "A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 4, pp. 398-401, Apr. 1990, doi:10.1109/34.50625
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