15 March 1996 Algorithm fusion for detection with reduced PFA
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
8 PAGES


SHARE
Back to Top