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Enhanced Landmine Detection From Low Resolution IR Image Sequences

Tiesheng Wang (Institutionen för signaler och system, Signalbehandling) ; Irene Y.H. Gu (Institutionen för signaler och system, Signalbehandling) ; Tardi Tjahjadi
Springer LNCS (for CAIP'09) Vol. 5702 (2009), p. 1236-1244.
[Konferensbidrag, refereegranskat]

We deal with the problem of landmine field detection using low-resolution infrared (IR) image sequences measured from airborne or vehicle-borne passive IR cameras. The proposed scheme contains two parts: a) employ a multi-scale detector, i.e., a special type of isotropic bandpass filters, to detect landmine candidates in each frame; b) enhance landmine detection through seeking maximum consensus of corresponding landmine candidates over image frames. Experiments were conducted on several IR image sequences measured from airborne and vehicle-borne cameras, where some results are included. As shown in our experiments, the landmine signatures have been significantly enhanced using the proposed scheme, and automatic detection results are reasonably good. These methods can therefore be applied to assisting humanitarian demining work for landmine field detection.

Nyckelord: Landmine field detection, feature point, SIFT descriptor, bandpass fillter, consensus of landmine candidates



Denna post skapades 2009-11-27.
CPL Pubid: 102360

 

Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)

Ämnesområden

Datalogi
Bildanalys
Signalbehandling

Chalmers infrastruktur