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http://dx.doi.org/10.5369/JSST.2014.23.3.149

An Analysis of 2D Positional Accuracy of Human Bodies Detection Using the Movement of Mono-UWB Radar  

Kiasari, Mohammad Ahangar (School of Electronic and Computer Engineering, Chonnam National University)
Na, Seung You (School of Electronic and Computer Engineering, Chonnam National University)
Kim, Jin Young (School of Electronic and Computer Engineering, Chonnam National University)
Publication Information
Journal of Sensor Science and Technology / v.23, no.3, 2014 , pp. 149-157 More about this Journal
Abstract
This paper considers the ability of counting and positioning multi-targets by using a mobile UWB radar device. After a background subtraction process, distinguishing between clutters and human body signals, the position of targets will be computed using weighted Gaussian mixture methods. While computer vision offers many advantages, it has limited performance in poor visibility conditions (e.g., at night, haze, fog or smoke). UWB radar can provide a complementary technology for detecting and tracking humans, particularly in poor visibility or through-wall conditions. As we know, for 2D measurement, one method is the use of at least two receiver antennas. Another method is the use of one mobile radar receiver. This paper tried to investigate the position detection of the stationary human body using the movement of one UWB radar module.
Keywords
Background subtraction algorithm; Gaussian mixture method; Human motion detection; Mono-UWB radar module;
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