15 March 1996 Algorithm fusion for detection with reduced PFA
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Abstract
We consider detection (locating all objects in a scene) independent of object distortions and contrast differences and in the presence of clutter. We employ several different new detection algorithms; to reduce false alarms. We fuse (combine) the outputs from different detection algorithms. We describe a new peak sorting detection scoring algorithm and 3 different fusion algorithms to combine the results from different algorithms: binary, analog, and hierarchial fusion. Quantitative data on a distortion-invariant six object class is presented; the objects have a wide range of object contrasts including obscured objects and the objects are present in severe clutter.
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David P. Casasent, David P. Casasent, Anqi Ye, Anqi Ye, Ashit Talukder, Ashit Talukder, "Algorithm fusion for detection with reduced PFA", Proc. SPIE 2752, Optical Pattern Recognition VII, (15 March 1996); doi: 10.1117/12.235652; https://doi.org/10.1117/12.235652
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