dc.contributor.advisor |
Andaluz, Víctor |
|
dc.contributor.author |
Aulestia Araujo, Pablo Sebastián |
|
dc.contributor.author |
Talahua Remache, Jonathan Saul |
|
dc.date.accessioned |
2018-02-20T23:49:18Z |
|
dc.date.available |
2018-02-20T23:49:18Z |
|
dc.date.issued |
2017-11 |
|
dc.identifier.citation |
Aulestia Araujo, Pablo Sebastián. Talahua Remache, Jonathan Saul (2017). Real-time face detection using artificial neural networks. Carrera de Ingeniería Electrónica e Instrumentación. Departamento de Eléctrica y Electrónica. Universidad de las Fuerzas Armadas ESPE. Extensión Latacunga. |
es_ES |
dc.identifier.other |
ENI-0405 |
|
dc.identifier.uri |
http://repositorio.espe.edu.ec/handle/21000/13928 |
|
dc.description.abstract |
In this paper, we propose a model for face detection that works in both real-time and unstructured environments. for feature extraction, we applied the HOG (Histrograms of Oriented Gradients) technique in a cononical window. For classification, we used a feed-forward neural network. We tested the performance of the proposed model at detecting faces in sequences of color images. For this task, we created a database containing color image patches of faces and background to train the neural network and color images of 320 x 240 to test the model. The database is available at http://electronica-el.espe.edu.ec/actividad-estudiantil/face-database/. To achieve real-time, we split the model into several modules that run in parallel. the proposed model exhibited an accuracy of 91.4% and demonstrated robustness to changes in illumination, pose and occlusion. For the tests, we used a 2-core-2.5 GHz PC with 6 GB of RAM memory, where input frames of 320 x 240 were processed in an average time of 81 ms. |
es_ES |
dc.description.sponsorship |
ESPE-L |
es_ES |
dc.language.iso |
eng |
es_ES |
dc.publisher |
Universidad de las Fuerzas Armadas ESPE. Extensión Latacunga. Carrera de Ingeniería en Electrónica e Instrumentación. |
es_ES |
dc.rights |
openAccess |
es_ES |
dc.subject |
DETECCIÓN DE ROSTROS EN TIEMPO REAL |
es_ES |
dc.subject |
HISTOGRAMAS DE GRADIENTES ORIENTADOS |
es_ES |
dc.subject |
REDES NUERONALES |
es_ES |
dc.title |
Artículo Científico. Real-time face detection using artificial neural networks. |
es_ES |
dc.type |
article |
es_ES |