| Revista: | Latin-American Journal of Computing (LAJC) |
| Base de datos: | |
| Número de sistema: | 000565064 |
| ISSN: | 1390-9134 |
| Autores: | Cale, Diego1 Chimbo, Verónica1 Paz-Arias, Henry2 Barriga-Andrade, Jhonattan Javier2 |
| Instituciones: | 1Universidad Nacional de Loja, 2Escuela Politécnica Nacional, |
| Año: | 2016 |
| Volumen: | 3 |
| Número: | 1 |
| Paginación: | 27-34 |
| País: | Ecuador |
| Idioma: | Inglés |
| Resumen en inglés | This article presents a technological proposal based on artificial vision which aims to search people in an intelligent way by using IP video cameras. Currently, manual searching process is time and resource demanding in contrast to automated searching one, which means that it could be replaced. In order to obtain optimal results, three different techniques of artificial vision were analyzed (Eigenfaces, Fisherfaces, Local Binary Patterns Histograms). The selection process considered factors like lighting changes, image quality and changes in the angle of focus of the camera. Besides, a literature review was conducted to evaluate several points of view regarding artificial vision techniques. |
| Keyword: | people recognition, artificial vision, FRAME, ICONIX, LBPH, FISHERFACES, EIGENFACES, QT CREATOR, OPENCV |
| Texto completo: | Texto completo (Ver PDF) |
