Combining Video and Wireless Signals for Enhanced Audience Analysis

Miguel Sanz-Narrillos, Stefano Masneri, Mikel Zorrilla

Abstract

We present a system for audience engagement measurement which combines wireless and vision-based detection techniques. The system is able to detect the position and the movements of the audience during a live event with rapidly varying illumination. At the heart of the paper is an approach to use a wireless-based person detection and tracking system to guide the preprocessing of the frames which are fed to the CNN performing person analysis. We show that the hybrid system performs better than standard vision-based approaches and can be successfully deployed in environments with challenging illumination conditions.

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Paper Citation


in Harvard Style

Sanz-Narrillos M., Masneri S. and Zorrilla M. (2020). Combining Video and Wireless Signals for Enhanced Audience Analysis.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 151-161. DOI: 10.5220/0008963101510161


in Bibtex Style

@conference{icaart20,
author={Miguel Sanz-Narrillos and Stefano Masneri and Mikel Zorrilla},
title={Combining Video and Wireless Signals for Enhanced Audience Analysis},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={151-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008963101510161},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Combining Video and Wireless Signals for Enhanced Audience Analysis
SN - 978-989-758-395-7
AU - Sanz-Narrillos M.
AU - Masneri S.
AU - Zorrilla M.
PY - 2020
SP - 151
EP - 161
DO - 10.5220/0008963101510161