Identification of Objects-of-Interest in X-Ray Images

Washington, DC, USA October 11-October 13

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http://doi.ieeecomputersociety.org/10.1109/AIPR.2006.25

35th Applied Imagery and Pattern Reco ...

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	Carsten Oertel, Peter Bock, "Identification of Objects-of-Interest in X-Ray Images," Applied Image Pattern Recognition Workshop,, pp. 17, 35th Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006.

	BibTex	x
	@article{ 10.1109/AIPR.2006.25, author = {Carsten Oertel and Peter Bock}, title = {Identification of Objects-of-Interest in X-Ray Images}, journal ={Applied Image Pattern Recognition Workshop,}, volume = {0}, year = {2006}, issn = {1550-5219}, pages = {17}, doi = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2006.25}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Applied Image Pattern Recognition Workshop, TI - Identification of Objects-of-Interest in X-Ray Images SN - 1550-5219 SP EP A1 - Carsten Oertel, A1 - Peter Bock, PY - 2006 KW - null VL - 0 JA - Applied Image Pattern Recognition Workshop, ER -

Carsten Oertel, George Washington University

Peter Bock, George Washington University

The objective of this research is to automatically detect and locate Devices-of-Interest (DOI) in x-ray images, even if partially obscured by devices of no interest, using a new ALISA Component Module. This preliminary study was performed using a single DOI, a 9mm Colt Beretta, but the solution method can easily accommodate other DOIs. Results obtained in real-time (a few seconds) revealed a robust and accurate classifier that could easily assist security personnel at the defined venue: carry-on luggage x-ray machines in airports. This research project was funded by the Defense Threat Reduction Agency (DTRA).

Citation:

Carsten Oertel, Peter Bock, "Identification of Objects-of-Interest in X-Ray Images," aipr, pp.17, 35th Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006

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