Memorias de investigación
Communications at congresses:
Person tracking association using multi-modal systems
Year:2017
Research Areas
  • Engineering,
  • Telecommunications,
  • Processing and signal analysis
Information
Abstract
In this paper, a novel multi-modal method for person identification in indoor environments is presented. This ap- proach relies on matching the skeletons detected by a Kinect v2 device with wearable devices equipped with inertial sen- sors. Movement features such as yaw and pitch changes are employed to associate a particular Kinect skeleton to a person using the wearable. The entire process of sensor cal- ibration, feature extraction, synchronization and matching is detailed in this work. Six detection scenarios were de- fined to assess the proposed method. Experimental results have shown a high accuracy in the association process.
International
Si
Congress
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
960
Place
Lecce (Italia)
Reviewers
Si
ISBN/ISSN
978-1-5386-2939-0
10.1109/AVSS.2017.8078529
Start Date
29/08/2017
End Date
01/09/2017
From page
416
To page
421
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Participants
  • Autor: Alberto Belmonte Hernandez UPM
  • Autor: Vassilios Solachidis Centre for Research and Technology Hellas, Information Technologies Institute
  • Autor: T. Theodoridis Centre for Research and Technology Hellas, Information Technologies Institute
  • Autor: Gustavo Adolfo Hernandez Peñaloza UPM
  • Autor: Giuseppe Conti . UPM
  • : Nicholas Vretros 1Centre for Research and Technology Hellas, Information Technologies Institute
  • Autor: Federico Alvarez Garcia UPM
  • Autor: Petros Daras 1Centre for Research and Technology Hellas, Information Technologies Institute
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Aplicación de Telecomunicaciones Visuales (G@TV)
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Señales, Sistemas y Radiocomunicaciones