Abstract
This paper discusses a fusion framework with data from multiple, distributed radar sensors based on conventional classifiers, and transfer learning with pre-trained deep networks. The application considered is the classification of gait styles and the detection of critical accidents such as falls. The data were collected from a network comprised of one Ancortek frequency modulated continuous wave radar and three ultra wide-band Xethru radars. The radar systems within the network were placed in three different locations, notably, in front of participants, on the ceiling, and on the right-hand side of the monitored area. The proposed information fusion framework compares feature level fusion, soft fusion with the classifier confidence level, and hard fusion with Naïve Bayes combiner (NBC). Regarding the classifier, linear SVM, Random-Forest Bagging Trees, and five pre-trained neural networks are introduced to the fusion algorithm, where the VGG-16 network yields the best performance (about 84%) with the help of NBC. Compared to the best cases with conventional classifiers, it is reported that 20% and 16% subsequent improvement are achieved for individual usage of single radar and fusion
Original language | English |
---|---|
Title of host publication | 2020 IEEE Radar Conference, RadarConf 2020 |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-8942-0 |
ISBN (Print) | 978-1-7281-8943-7 |
DOIs | |
Publication status | Published - 2020 |
Event | 2020 IEEE Radar Conference (RadarConf20) - Florence, Italy Duration: 21 Sept 2020 → 25 Sept 2020 |
Publication series
Name | IEEE National Radar Conference - Proceedings |
---|---|
Volume | 2020-September |
ISSN (Print) | 1097-5659 |
Conference
Conference | 2020 IEEE Radar Conference (RadarConf20) |
---|---|
Country/Territory | Italy |
City | Florence |
Period | 21/09/20 → 25/09/20 |
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-careOtherwise 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.
Keywords
- information fusion
- machine learning
- multiple radar sensing
- radar network
- transfer learning