Print Email Facebook Twitter Grouped People Counting Using mm-wave FMCW MIMO Radar Title Grouped People Counting Using mm-wave FMCW MIMO Radar Author Ren, Liyuan (Student TU Delft) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems) Date 2023 Abstract The problem of radar-based counting of multiple individuals moving as a single group is addressed using an mm-wave multiple-input-multiple-output (MIMO) frequency-modulated continuous wave (FMCW) radar. This problem is challenging because the different individuals are closer to each other than the range/azimuth resolution, and their bulk Doppler signatures are difficult to distinguish, as they tend to move together. A processing pipeline is proposed, based on the combination of a multiple target tracking algorithm with a classifier to track each group and count the number of people within. Specific salient features are defined for the classifier and extracted from range-azimuth maps and cadence velocity diagrams (CVDs). The proposed pipeline has been experimentally validated in several outdoor scenarios with grouped people. The results show that the combination of tracking algorithm and classifier in the proposed pipeline outperforms alternative methods from the literature as well as a commercial toolbox for people counting. Subject Feature extractionInternet of ThingsLegged locomotionmm-wave radarPeople CountingPipelinesRadarradar signal processingRadar trackingSpectrogramtracking and classification To reference this document use: http://resolver.tudelft.nl/uuid:5155f302-fe41-49b0-b3fc-daa791bd61ac DOI https://doi.org/10.1109/JIOT.2023.3282797 Embargo date 2024-01-01 ISSN 2327-4662 Source IEEE Internet of Things Journal, 10 (22), 20107 - 20119 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Liyuan Ren, Alexander Yarovoy, F. Fioranelli Files PDF Grouped_People_Counting_U ... _Radar.pdf 3.63 MB Close viewer /islandora/object/uuid:5155f302-fe41-49b0-b3fc-daa791bd61ac/datastream/OBJ/view