Harmless screening of humans for the detection of concealed objects

نویسندگان

  • M. Kowalski
  • M. Kastek
  • M. Piszczek
  • M. Szustakowski
چکیده

Multispectral screening systems are becoming more popular because of a wide range of applications. Terahertz and infrared radiation have unique properties applicable to the field of surveillance and security systems. One of the most significant applications of multispectral screening systems is the prevention of terrorist attacks. Visual detection of objects hidden under clothing of a person is one of the most challenging problems of threat detection. There are many solutions to the problem; however, the most effective utilize multispectral surveillance imagers. We investigate the possibility of harmlessly detecting objects covered by various types of clothing in three spectrums – visible, infrared and terahertz. The terahertz range of electromagnetic radiation has considerable potential to detect hidden objects because it penetrates clothes. The infrared imagers are also very useful in searching for concealed objects because infrared cameras can detect small temperature differences on the surface of clothing. Radiation from these three ranges is harmless to humans. We present the detection methodology using infrared and terahertz imagers as complementary sensors to provide image data for a multispectral threat detection system. Possible ways of using the results are also presented.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hidden Object Detection System Based on Fusion of THz and VIS Images

Terahertz imaging makes it possible to acquire images of objects concealed underneath clothing by measuring the radiometric temperatures of di erent objects on a human subject. Finding objects hidden under clothes is one of key issues of public places security. A possible solution of this problem is a multispectral, terahertz-based screening system with implemented image fusion algorithm. The r...

متن کامل

Kohonen Self Organizing for Automatic Identification of Cartographic Objects

Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...

متن کامل

Concealed Objects Detection in Visible, Infrared and Terahertz Ranges

Multispectral screening systems are becoming more popular because of their very interesting properties and applications. One of the most significant applications of multispectral screening systems is prevention of terrorist attacks. There are many kinds of threats and many methods of detection. Visual detection of objects hidden under clothing of a person is one of the most challenging problems...

متن کامل

A short overview about cadmium and its toxicity focused on humans, bioindicators and model organisms

According to Paracelsus (1493-1541) everything from this planet is poison, only the dose makes the poison to be harmless. Even the essential elements for life support are toxic for all organisms in high amounts. Mercury, cadmium, metalloid arsenic and lead were responsible for poisoning and death of many humans and life forms from this planet for centuries. Cadmium forms different compounds tha...

متن کامل

Statistical Background Modeling Based on Velocity and Orientation of Moving Objects

Background modeling is an important step in moving object detection and tracking. In this paper, we propose a new statistical approach in which, a sequence of frames are selected according to velocity and direction of some moving objects and then an initial background is modeled, based on the detection of gray pixel's value changes. To have used this sequence of frames, no estimator or distribu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015