This paper presents a new approach for detecting small, moving targets in noisy image sequences. This approach takes the following steps: 1) clutter suppressing, 2) adaptive thresholding, and 3) recursive maximum similarity filter. Among these processes, clutter suppressing algorithm and recursive maximum similarity (RMS) filter are a main contribution of this paper. Both of them can be implemented by fully parallel algorithm, and real-time is possible for image sequences at high frame rate. Test results show that the approach has ability to detect small low-contrast moving targets whose positions and trajectories are unknown.
Small target detection in noisy image sequences
01.01.1997
377254 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Small Target Detection in Noisy Image Sequences
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