Title :
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
fDate :
4/1/1990 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
