Object detection from a real scene using the correlation peak coordinates of multiple circular harmonic filters.
Most proposed methods for rotation invariant multiple circular harmonic filters combine the intensities or amplitudes of the center correlations. We propose combining the coordinates of the correlation peaks of multiple circular harmonic filters. The new method is used to detect objects from a cluttered noisy input scene. High cross-correlation peaks coming from clutter do not cause false alarms. Experimental results are shown.
Sheng
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Arsenault
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