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Authors: Miguel Sanz-Narrillos ; Stefano Masneri and Mikel Zorrilla

Affiliation: Vicomtech, Mikeletegi Pasealekua 57, Donostia-San Sebastián, Spain

Keyword(s): Multi-modal Analysis, Person Analysis, Wireless Detection, Computer Vision, Audience Engagement.

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 several formats:
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; ISSN 2184-433X, SciTePress, pages 151-161. DOI: 10.5220/0008963101510161

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Sanz-Narrillos, M.
AU - Masneri, S.
AU - Zorrilla, M.
PY - 2020
SP - 151
EP - 161
DO - 10.5220/0008963101510161
PB - SciTePress

- Science and Technology Publications, Lda.
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