People counting using IR-UWB radar sensors and machine learning techniques

Ange Joel Nounga Njanda (1) , Jocelyn Edinio Zacko Gbadoubissa (1) , Emanuel Radoi (2, 3, 4) , Ado Adamou Abba Ari (5, 6) , Roua Youssef (2, 3, 4) , Aminou Halidou (7, 8)

1 AIMS - African Institute for Mathematical Sciences
2 UBO - Université de Brest
3 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Lab-STICC_SI3 - Equipe Security, Intelligence and Integrity of Information
5 UMa - University of Maroua
6 David Laboratory, UVSQ - Paris Saclay
7 UY1 - Université de Yaoundé I
8 UJ - University of Johannesburg [South Africa]

Mots clés: Multi-human detection, Machine learning, Ultra-wideband radar, Feature engineering, Wavelet transform

Domaines: Sciences de l'ingénieur [physics]

Ange Joel Nounga Njanda, Jocelyn Edinio Zacko Gbadoubissa, Emanuel Radoi, Ado Adamou Abba Ari, Roua Youssef, et al.. People counting using IR-UWB radar sensors and machine learning techniques. Systems and Soft Computing, 2024, 6, pp.200095. ⟨10.1016/j.sasc.2024.200095⟩. ⟨hal-04536063⟩