Person tracking association using multi-modal systems

Belmonte Hernández, Alberto and Solachidis, V. and Theodoridis, T. and Hernández Peñaloza, Gustavo Adolfo and Conti, Giuseppe and Vretos, N. and Álvarez García, Federico and Daras, P. (2017). Person tracking association using multi-modal systems. In: "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017)", 29/08/2017 - 01/09/2017, Lecce, Italy. pp. 416-421. https://doi.org/10.1109/AVSS.2017.8078529.

Description

Title: Person tracking association using multi-modal systems
Author/s:
  • Belmonte Hernández, Alberto
  • Solachidis, V.
  • Theodoridis, T.
  • Hernández Peñaloza, Gustavo Adolfo
  • Conti, Giuseppe
  • Vretos, N.
  • Álvarez García, Federico
  • Daras, P.
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017)
Event Dates: 29/08/2017 - 01/09/2017
Event Location: Lecce, Italy
Title of Book: IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017)
Date: 2017
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020ICT4LIFEUnspecifiedUnspecifiedUnspecified

More information

Item ID: 50218
DC Identifier: http://oa.upm.es/50218/
OAI Identifier: oai:oa.upm.es:50218
DOI: 10.1109/AVSS.2017.8078529
Official URL: https://ieeexplore.ieee.org/document/8078529/
Deposited by: Memoria Investigacion
Deposited on: 22 May 2018 15:09
Last Modified: 22 May 2018 15:09
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