Name
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) |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11552499_6 | ICAPR (2) |
Keywords | Field | DocType |
automated weapon detection,metallic object,automatic detection,simulated millimetre-wave image,real image,metallic weapon,hidden threat,millimetre-wave imaging,good detection,realistic millimetre-wave image,millimetre-wave personnel scanner,real sequence,mixture model,human body,pattern recognition | Computer vision,Image sensor,Computer science,Particle filter,Filter (signal processing),Artificial intelligence,Scanner,Real image,Point spread function,Detector,Mixture model | Conference |
Volume | ISSN | ISBN |
3687 | 0302-9743 | 3-540-28833-3 |
Citations | PageRank | References |
2 | 0.38 | 3 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beatriz Grafulla-González | 1 | 3 | 0.78 |
| Christopher D. Haworth | 2 | 2 | 0.38 |
| Andrew R. Harvey | 3 | 3 | 1.12 |
| Katia Lebart | 4 | 3 | 0.78 |
| Yvan R. Petillot | 5 | 112 | 10.72 |
| Yves de Saint-Pern | 6 | 2 | 0.38 |
| Mathilde Tomsin | 7 | 2 | 0.38 |
| Emanuele Trucco | 8 | 1236 | 116.32 |