A frequency domain algorithm for multiframe detection and estimation of dim targets

Author

Porat, Boaz ; Friedlander, Benjamin

Author_Institution

Dept. of Electr. Eng., Israel Inst. of Technol., Haifa, Israel

Volume

12

Issue

4

fYear

1990

fDate

4/1/1990 12:00:00 AM

Firstpage

398

Lastpage

401

Abstract

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

Keywords

computerised picture processing; fast Fourier transforms; filtering and prediction theory; tracking systems; computerised picture processing; detection probabilities; dim targets; directional filtering; fast Fourier transforms; frequency domain algorithm; imaging sensors; moving targets; multiframe detection; multiframe estimation; trajectories estimation; Filter bank; Filtering algorithms; Frequency domain analysis; Frequency estimation; Image sensors; Optical filters; Signal processing algorithms; Signal to noise ratio; Target tracking; Trajectory;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.50625

Filename

50625