Browsing by Subject "PHD filter"

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    ItemOpen Access
    Indoor multi-person tracking via ultra-wideband radars
    (2014) Gülmezoğlu, Berk
    Tracking multiple objects in indoor environments has various applications such as patient monitoring and inventory tracking. In this thesis, the use of Gaussian mixture probability hypothesis density (GM-PHD) filters is investigated for multiple person tracking via ultra-wideband (UWB) radar sensors in an indoor environment. An experimental setup consisting of a network of UWB radar sensors and a high-speed computer is designed and a new detection algorithm is proposed. The results of this experimental proof-of-concept study show that it is possible to accurately track multiple targets using a UWB radar sensor network in indoor environments based on the proposed approach.
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    ItemOpen Access
    Multiperson tracking with a network of ultrawideband radar sensors based on gaussian mixture PHD filters
    (Institute of Electrical and Electronics Engineers Inc., 2015) Gulmezoglu, B.; Guldogan, M. B.; Gezici, Sinan
    In this paper, we investigate the use of Gaussian mixture probability hypothesis density filters for multiple person tracking using ultrawideband (UWB) radar sensors in an indoor environment. An experimental setup consisting of a network of UWB radar sensors and a computer is designed, and a new detection algorithm is proposed. The results of this experimental proof-of-concept study show that it is possible to accurately track multiple targets using a UWB radar sensor network in indoor environments based on the proposed approach. © 2014 IEEE.