Human presence detection based on gathered thermal datasets through deep learning
Human detection using deep learning is often done with colored images rather than thermal images. Lacking integration between existing studies regarding thermal datasets and deep learning networks for human detection can be bridged with a curated dataset and a modified network for the said purpose....
Saved in:
Main Authors: | Amoroso, Miguel Carlos Cariño, Atienza, Kenneth Roel Catapang, Ladera, Riff Kurtees Tan, Menodiado, Nico Angelo Mendoza |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2022
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdb_ece/19 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1020&context=etdb_ece |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
A non-contact eye infrared thermal imaging sensor device
by: Cruz, Christian, et al.
Published: (2011) -
Improvement of contact in ATR FT-IR spectroscopy
by: Nutsima Deechalao
Published: (2009) -
Thermally induced phase transformation of nodax copolymer monitored by two-dimensional infrared spectroscopy
by: Adchara Padermshoke
Published: (2007) -
Geometry-dependent spectroscopic contrast in deep tissues
by: Ge, Xin, et al.
Published: (2020) -
Remote detection of idling cars using infrared imaging and deep networks
by: Bastan, Muhammet, et al.
Published: (2020)