Detection of Frontal Faces in Video Streams
Abstract
This paper describes an approach for detection of frontal faces in real time (20-35Hz) for further processing. This approach makes use of a combination of previous detection tracking and color for selecting interest areas. On those areas, later facial features such as eyes, nose and mouth are searched based on geometric tests, appearance verification, temporal and spatial coherence. The system makes use of very simple techniques applied in a cascade approach, combined and coordinated with temporal information for improving performance. This module is a component of a complete system designed for detection, tracking and identification of individuals [1].
Cite
Text
Santana et al. "Detection of Frontal Faces in Video Streams." European Conference on Computer Vision, 2002. doi:10.1007/3-540-47917-1_10Markdown
[Santana et al. "Detection of Frontal Faces in Video Streams." European Conference on Computer Vision, 2002.](https://mlanthology.org/eccv/2002/santana2002eccv-detection/) doi:10.1007/3-540-47917-1_10BibTeX
@inproceedings{santana2002eccv-detection,
title = {{Detection of Frontal Faces in Video Streams}},
author = {Santana, Modesto Castrillón and Lorenzo-Navarro, Javier and Cabrera-Gámez, Jorge and Hernández-Tejera, Mario and Rodríguez, J. Méndez},
booktitle = {European Conference on Computer Vision},
year = {2002},
pages = {91-102},
doi = {10.1007/3-540-47917-1_10},
url = {https://mlanthology.org/eccv/2002/santana2002eccv-detection/}
}