Passive infrared technique for buried object detection and classification

Nguyen Trung Thành; Dinh Nho Hao; Hichem Sahli

doi:10.1109/CVPRW.2011.5981879

Passive infrared technique for buried object detection and classification

Nguyen Trung Thành
, Dinh Nho Hao
, Hichem Sahli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

This paper investigates the problem of detection and characterization of shallowly buried landmines (more generally, buried objects) using passive thermal infrared technique. The problem consists of two steps. The first step aims at predicting the evolution of the soil temperature given the thermal properties of the soil and the buried objects using a physical model. In the second step, the forward thermal model and acquired infrared images are used to detect the presence of buried objects and characterize them based on the estimation of their thermal and geometrical properties.

Original language	English (US)
Title of host publication	2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
DOIs	https://doi.org/10.1109/CVPRW.2011.5981879
State	Published - 2011
Externally published	Yes
Event	2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 - Colorado Springs, CO, United States Duration: Jun 20 2011 → Jun 25 2011

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Other

Other	2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
Country/Territory	United States
City	Colorado Springs, CO
Period	6/20/11 → 6/25/11

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/CVPRW.2011.5981879

Cite this

Thành, N. T., Hao, D. N., & Sahli, H. (2011). Passive infrared technique for buried object detection and classification. In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 Article 5981879 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). https://doi.org/10.1109/CVPRW.2011.5981879

@inproceedings{c566419955bb417f8e6f413c416794a4,

title = "Passive infrared technique for buried object detection and classification",

abstract = "This paper investigates the problem of detection and characterization of shallowly buried landmines (more generally, buried objects) using passive thermal infrared technique. The problem consists of two steps. The first step aims at predicting the evolution of the soil temperature given the thermal properties of the soil and the buried objects using a physical model. In the second step, the forward thermal model and acquired infrared images are used to detect the presence of buried objects and characterize them based on the estimation of their thermal and geometrical properties.",

author = "Th{\`a}nh, \{Nguyen Trung\} and Hao, \{Dinh Nho\} and Hichem Sahli",

year = "2011",

doi = "10.1109/CVPRW.2011.5981879",

language = "English (US)",

isbn = "9781457705298",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

booktitle = "2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011",

note = "2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 ; Conference date: 20-06-2011 Through 25-06-2011",

}

Thành, NT, Hao, DN & Sahli, H 2011, Passive infrared technique for buried object detection and classification. in 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011., 5981879, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011, Colorado Springs, CO, United States, 6/20/11. https://doi.org/10.1109/CVPRW.2011.5981879

Passive infrared technique for buried object detection and classification. / Thành, Nguyen Trung; Hao, Dinh Nho; Sahli, Hichem.
2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011. 2011. 5981879 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Passive infrared technique for buried object detection and classification

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AU - Hao, Dinh Nho

AU - Sahli, Hichem

PY - 2011

Y1 - 2011

N2 - This paper investigates the problem of detection and characterization of shallowly buried landmines (more generally, buried objects) using passive thermal infrared technique. The problem consists of two steps. The first step aims at predicting the evolution of the soil temperature given the thermal properties of the soil and the buried objects using a physical model. In the second step, the forward thermal model and acquired infrared images are used to detect the presence of buried objects and characterize them based on the estimation of their thermal and geometrical properties.

AB - This paper investigates the problem of detection and characterization of shallowly buried landmines (more generally, buried objects) using passive thermal infrared technique. The problem consists of two steps. The first step aims at predicting the evolution of the soil temperature given the thermal properties of the soil and the buried objects using a physical model. In the second step, the forward thermal model and acquired infrared images are used to detect the presence of buried objects and characterize them based on the estimation of their thermal and geometrical properties.

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DO - 10.1109/CVPRW.2011.5981879

M3 - Conference contribution

AN - SCOPUS:80054890958

SN - 9781457705298

T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

BT - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011

T2 - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011

Y2 - 20 June 2011 through 25 June 2011

ER -

Passive infrared technique for buried object detection and classification

Abstract

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All Science Journal Classification (ASJC) codes

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