Locating a Missing Person Using an Optimized Face Recognition Algorithm

B. Abhimanyu, S. Veni

2023

Abstract

Investigation of missing person requires data from combination of multiple modalities and heterogeneous data sources. Drawback of the existing fusion model is for each modality of data separate information models are used. It also lacks in application domain to use pre-existing object properties. A new framework with name Trace-Them is developed for multimodal information retrieval. Feature extraction from different modalities and making use of DCNN for mapping them into a video footage is included in the proposed model.

Paper Citation

in Harvard Style

Abhimanyu B. and Veni S. (2023). Locating a Missing Person Using an Optimized Face Recognition Algorithm. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 336-343. DOI: 10.5220/0012771100003739

in Bibtex Style

@conference{ai4iot23,
author={B. Abhimanyu and S. Veni},
title={Locating a Missing Person Using an Optimized Face Recognition Algorithm},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={336-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012771100003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Locating a Missing Person Using an Optimized Face Recognition Algorithm
SN - 978-989-758-661-3
AU - Abhimanyu B.
AU - Veni S.
PY - 2023
SP - 336
EP - 343
DO - 10.5220/0012771100003739
PB - SciTePress