The imaging issue in an automatic face/disguise detection system

被引:81
作者
Pavlidis, I [1 ]
Symosek, P [1 ]
机构
[1] Honeywell Technol Ctr, Minneapolis, MN 55418 USA
来源
IEEE WORKSHOP ON COMPUTER VISION BEYOND THE VISIBLE SPECTRUM: METHODS AND APPLICATIONS, PROCEEDINGS | 2000年
关键词
D O I
10.1109/CVBVS.2000.855246
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Automatic face recognition systems have made great strides in the past 10 years. They still, however, cannot cope with changes due to lighting and cannot detect disguises. Both of these issues are critical for the employment of face recognition systems in high security applications, such as embassy perimeters, federal plazas, and the like. We propose novel imaging solutions that address these difficult problems. We demonstrate with theoretical and experimental arguments that a dual-band fusion system in the near infrared can segment human faces much more accurately than traditional visible band face detection systems. Face detection is useful by itself asn an early warning method in certain surveillance applications. Accurate face delineation can also improve the performance of face recognition systems in certain difficult scenarios, particularly in outside environments. We also demonstrate with theoretical and experimental arguments that the upper band of the near infrared (1.4-2.4 mu m) is particularly advantageous for disguise detection purposes. This is attributable to the unique and universal properties of the human skin in this sub-band. We conclude the paper with a description of our ongoing and future efforts.
引用
收藏
页码:15 / 24
页数:10
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