Fusion and partitioning of data for the detection of concealed weapons

被引：0
|
作者：
Varshney, PK [1 ]
Ramac, L [1 ]
Slamani, MA [1 ]
Alford, MG [1 ]
Ferris, D [1 ]
机构：
[1] Syracuse Univ, Syracuse, NY 13244 USA
来源：
FUSION'98: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MULTISOURCE-MULTISENSOR INFORMATION FUSION, VOLS 1 AND 2 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Infrared (IR) and Millimeter-wave (MMW) sensors have complementary advantages in detecting concealed weapons. One way to take advantage of this fact is to fuse the IR and MMW data, and, to extract the information from the fused data by partitioning the scene into homogeneous regions. In this paper, fusion and partitioning techniques are presented as well as their application to rear data derived from IR and MMW sensors.
引用
收藏
页码：901 / 905
页数：5
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