Detection and Tracking of the Human Hot Spot

Carlos M. Travieso, Malay Kishore Dutta, Jordi Solé-Casals, Jesús B. Alonso

2014

Abstract

This work presents an algorithm that receives as input a stream of thermal imaging detects heat sources present in them and classify them according to their mobility. After performing the experiment and given the results, it is concluded that the algorithm performed is able to discern and classify the different types of human bodies as long as you can provide a set of detection parameters adjusted to the situation, indoor or outdoor; and with one or more persons.

Paper Citation

in Harvard Style

Travieso C., Kishore Dutta M., Solé-Casals J. and B. Alonso J. (2014). Detection and Tracking of the Human Hot Spot.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 325-330. DOI: 10.5220/0004941703250330

in Bibtex Style

@conference{mpbs14,
author={Carlos M. Travieso and Malay Kishore Dutta and Jordi Solé-Casals and Jesús B. Alonso},
title={Detection and Tracking of the Human Hot Spot},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2014)},
year={2014},
pages={325-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004941703250330},
isbn={978-989-758-011-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2014)
TI - Detection and Tracking of the Human Hot Spot
SN - 978-989-758-011-6
AU - Travieso C.
AU - Kishore Dutta M.
AU - Solé-Casals J.
AU - B. Alonso J.
PY - 2014
SP - 325
EP - 330
DO - 10.5220/0004941703250330