Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview |
Person tracking association using multi-modal systems
Citation
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: |
|
| 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 |
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
Type
Code
Acronym
Leader
Title
Horizon 2020
ICT4LIFE
Unspecified
Unspecified
Unspecified
More information
| Item ID: | 50218 |
|---|---|
| DC Identifier: | https://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 |
