Parallel software implementation of recursive multidimensional digital filters for point-target detection in cluttered infrared scenes
Computer Vision and Pattern Recognition
2015-08-25 v4
Abstract
A technique for the enhancement of point targets in clutter is described. The local 3-D spectrum at each pixel is estimated recursively. An optical flow-field for the textured background is then generated using the 3-D autocorrelation function and the local velocity estimates are used to apply high-pass velocity-selective spatiotemporal filters, with finite impulse responses (FIRs), to subtract the background clutter signal, leaving the foreground target signal, plus noise. Parallel software implementations using a multicore central processing unit (CPU) and a graphical processing unit (GPU) are investigated.
Cite
@article{arxiv.1408.3526,
title = {Parallel software implementation of recursive multidimensional digital filters for point-target detection in cluttered infrared scenes},
author = {Hugh L. Kennedy},
journal= {arXiv preprint arXiv:1408.3526},
year = {2015}
}
Comments
To appear in Proc. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Added header and DOI