Algorithm fusion for detection with reduced P_FA

David P. Casasent; Anqi Ye; Ashit Talukder

doi:10.1117/12.235652

15 March 1996 Algorithm fusion for detection with reduced P_FA

David P. Casasent, Anqi Ye, Ashit Talukder

Proceedings Volume 2752, Optical Pattern Recognition VII; (1996) https://doi.org/10.1117/12.235652
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

David P. Casasent, Anqi Ye, and Ashit Talukder "Algorithm fusion for detection with reduced P_FA", Proc. SPIE 2752, Optical Pattern Recognition VII, (15 March 1996); https://doi.org/10.1117/12.235652

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