Millimetre-wave personnel scanners for automated weapon detection

Beatriz Grafulla-González; Christopher D. Haworth; Andrew R. Harvey; Katia Lebart; Yvan R. Petillot; Yves De Saint-Pern; Mathilde Tomsin; Emanuele Trucco

doi:10.1007/11552499_6

Millimetre-wave personnel scanners for automated weapon detection

Beatriz Grafulla-González, Christopher D. Haworth, Andrew R. Harvey, Katia Lebart, Yvan R. Petillot, Yves De Saint-Pern, Mathilde Tomsin, Emanuele Trucco

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

1 Citation (Scopus)

Abstract

The ATRIUM project aims to the automatic detection of threats hidden under clothes using millimetre-wave imaging. We describe a simulator of realistic millimetre-wave images and a system for detecting metallic weapons automatically. The latter employs two stages, detection and tracking. We present a detector for metallic objects based on mixture models, and a target tracker based on particle filtering. We show convincing, simulated millimetre-wave images of the human body with and without hidden threats, including a comparison with real images, and very good detection and tracking performance with eight real sequences. (International Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance) © Springer-Verlag Berlin Heidelberg 2005.

Original language	English
Title of host publication	Pattern Recognition and Image Analysis
Subtitle of host publication	Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II
Pages	48-57
Number of pages	10
Volume	3687
ISBN (Electronic)	978-3-540-31999-3
DOIs	https://doi.org/10.1007/11552499_6
Publication status	Published - 2005
Event	Third International Conference on Advances in Patten Recognition - Bath, United Kingdom Duration: 22 Aug 2005 → 25 Aug 2005

Publication series

Name	Lecture Notes in Computer Science
Volume	3687
ISSN (Print)	0302-9743

Conference

Conference	Third International Conference on Advances in Patten Recognition
Abbreviated title	ICAPR 2005
Country/Territory	United Kingdom
City	Bath
Period	22/08/05 → 25/08/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/11552499_6

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Grafulla-González, B., Haworth, C. D., Harvey, A. R., Lebart, K., Petillot, Y. R., De Saint-Pern, Y., Tomsin, M., & Trucco, E. (2005). Millimetre-wave personnel scanners for automated weapon detection. In Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II (Vol. 3687, pp. 48-57). (Lecture Notes in Computer Science; Vol. 3687). https://doi.org/10.1007/11552499_6

Grafulla-González, Beatriz ; Haworth, Christopher D. ; Harvey, Andrew R. et al. / Millimetre-wave personnel scanners for automated weapon detection. Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II. Vol. 3687 2005. pp. 48-57 (Lecture Notes in Computer Science).

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title = "Millimetre-wave personnel scanners for automated weapon detection",

abstract = "The ATRIUM project aims to the automatic detection of threats hidden under clothes using millimetre-wave imaging. We describe a simulator of realistic millimetre-wave images and a system for detecting metallic weapons automatically. The latter employs two stages, detection and tracking. We present a detector for metallic objects based on mixture models, and a target tracker based on particle filtering. We show convincing, simulated millimetre-wave images of the human body with and without hidden threats, including a comparison with real images, and very good detection and tracking performance with eight real sequences. (International Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance) {\textcopyright} Springer-Verlag Berlin Heidelberg 2005.",

author = "Beatriz Grafulla-Gonz{\'a}lez and Haworth, {Christopher D.} and Harvey, {Andrew R.} and Katia Lebart and Petillot, {Yvan R.} and {De Saint-Pern}, Yves and Mathilde Tomsin and Emanuele Trucco",

year = "2005",

doi = "10.1007/11552499_6",

language = "English",

isbn = "978-3-540-28833-6",

volume = "3687",

series = "Lecture Notes in Computer Science",

pages = "48--57",

booktitle = "Pattern Recognition and Image Analysis",

note = "Third International Conference on Advances in Patten Recognition, ICAPR 2005 ; Conference date: 22-08-2005 Through 25-08-2005",

}

Grafulla-González, B, Haworth, CD, Harvey, AR, Lebart, K, Petillot, YR, De Saint-Pern, Y, Tomsin, M & Trucco, E 2005, Millimetre-wave personnel scanners for automated weapon detection. in Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II. vol. 3687, Lecture Notes in Computer Science, vol. 3687, pp. 48-57, Third International Conference on Advances in Patten Recognition, Bath, United Kingdom, 22/08/05. https://doi.org/10.1007/11552499_6

Millimetre-wave personnel scanners for automated weapon detection. / Grafulla-González, Beatriz; Haworth, Christopher D.; Harvey, Andrew R. et al.
Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II. Vol. 3687 2005. p. 48-57 (Lecture Notes in Computer Science; Vol. 3687).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Millimetre-wave personnel scanners for automated weapon detection

AU - Grafulla-González, Beatriz

AU - Haworth, Christopher D.

AU - Harvey, Andrew R.

AU - Lebart, Katia

AU - Petillot, Yvan R.

AU - De Saint-Pern, Yves

AU - Tomsin, Mathilde

AU - Trucco, Emanuele

PY - 2005

Y1 - 2005

N2 - The ATRIUM project aims to the automatic detection of threats hidden under clothes using millimetre-wave imaging. We describe a simulator of realistic millimetre-wave images and a system for detecting metallic weapons automatically. The latter employs two stages, detection and tracking. We present a detector for metallic objects based on mixture models, and a target tracker based on particle filtering. We show convincing, simulated millimetre-wave images of the human body with and without hidden threats, including a comparison with real images, and very good detection and tracking performance with eight real sequences. (International Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance) © Springer-Verlag Berlin Heidelberg 2005.

AB - The ATRIUM project aims to the automatic detection of threats hidden under clothes using millimetre-wave imaging. We describe a simulator of realistic millimetre-wave images and a system for detecting metallic weapons automatically. The latter employs two stages, detection and tracking. We present a detector for metallic objects based on mixture models, and a target tracker based on particle filtering. We show convincing, simulated millimetre-wave images of the human body with and without hidden threats, including a comparison with real images, and very good detection and tracking performance with eight real sequences. (International Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance) © Springer-Verlag Berlin Heidelberg 2005.

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M3 - Chapter (peer-reviewed)

SN - 978-3-540-28833-6

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T3 - Lecture Notes in Computer Science

SP - 48

EP - 57

BT - Pattern Recognition and Image Analysis

T2 - Third International Conference on Advances in Patten Recognition

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ER -

Grafulla-González B, Haworth CD, Harvey AR, Lebart K, Petillot YR, De Saint-Pern Y et al. Millimetre-wave personnel scanners for automated weapon detection. In Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II. Vol. 3687. 2005. p. 48-57. (Lecture Notes in Computer Science). doi: 10.1007/11552499_6

Millimetre-wave personnel scanners for automated weapon detection

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