Title :
GPU-enabled high performance feature modeling for ATR applications
Author :
Dessauer, Michael P. ; Hitchens, Joshua ; Dua, Sumeet
Author_Institution :
Dept. of Comput. Sci., Louisiana Tech Univ., Ruston, LA, USA
Abstract :
Computational methods for automatic target recognition are constrained by the need to analyze increasingly high-dimensional sensor data in real time. Parallel processing has the potential to speed up computational bottlenecks in many automatic target recognition (ATR) methods. We will implement parallelized versions of target tracking methods and discuss gains in algorithm completion time.
Keywords :
computer graphic equipment; coprocessors; image recognition; parallel processing; target tracking; GPU-enabled high performance feature modeling; algorithm completion time; automatic target recognition applications; computational bottlenecks; computational methods; graphical processing units; high-dimensional sensor data; parallel processing; target tracking methods; Computer vision; Feature extraction; Gabor filters; Graphics processing unit; Histograms; Optical filters; Target tracking; machine vision; object recognition; parallel processing; tracking;
Conference_Titel :
Aerospace and Electronics Conference (NAECON), Proceedings of the IEEE 2010 National
Conference_Location :
Fairborn, OH
Print_ISBN :
978-1-4244-6576-7
DOI :
10.1109/NAECON.2010.5712930
