Fast millimeter wave threat detection algorithm. Maqueda, I. G., de la Blanca , N. P., Molina, R., & Katsaggelos, A. K. In 2015 23rd European Signal Processing Conference (EUSIPCO), pages 599-603, Aug, 2015.
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Paper doi abstract bibtex
Paper doi abstract bibtex Millimeter Wave (MMW) imaging systems are currently being used to detect hidden threats. Unfortunately the current performance of detection algorithms is very poor due to the presence of severe noise, the low resolution of MMW images and, in general, the poor quality of the acquired images. In this paper we present a new real time MMW threat detection algorithm based on a tailored de-noising, body and threat segmentation, and threat detection process that outperforms currently existing detection procedures. A complete comparison with a state of art threat detection algorithm is presented in the experimental section.
@InProceedings{7362453,
author = {I. G. Maqueda and N. P. {de la Blanca} and R. Molina and A. K. Katsaggelos},
booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
title = {Fast millimeter wave threat detection algorithm},
year = {2015},
pages = {599-603},
abstract = {Millimeter Wave (MMW) imaging systems are currently being used to detect hidden threats. Unfortunately the current performance of detection algorithms is very poor due to the presence of severe noise, the low resolution of MMW images and, in general, the poor quality of the acquired images. In this paper we present a new real time MMW threat detection algorithm based on a tailored de-noising, body and threat segmentation, and threat detection process that outperforms currently existing detection procedures. A complete comparison with a state of art threat detection algorithm is presented in the experimental section.},
keywords = {image denoising;image segmentation;millimetre wave detectors;millimetre wave imaging;millimeter wave threat detection algorithm;millimeter wave imaging systems;denoising;threat segmentation;Signal processing algorithms;Image segmentation;Standards;Detection algorithms;Classification algorithms;Algorithm design and analysis;Europe;Millimeter wave imaging;image processing;Security},
doi = {10.1109/EUSIPCO.2015.7362453},
issn = {2076-1465},
month = {Aug},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570103163.pdf},
}Downloads: 0
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