Cue combination for robust real-time multiple face detection at different resolutions

Authors:
M. Castrillón-Santana;O. Déniz-Suárez;C. Guerra-Artal;J. Isern-González
Affiliations:
IUSIANI, Edif. Ctral. del Parque Científico Tecnológico, Universidad de Las Palmas de Gran Canaria, Spain;IUSIANI, Edif. Ctral. del Parque Científico Tecnológico, Universidad de Las Palmas de Gran Canaria, Spain;IUSIANI, Edif. Ctral. del Parque Científico Tecnológico, Universidad de Las Palmas de Gran Canaria, Spain;IUSIANI, Edif. Ctral. del Parque Científico Tecnológico, Universidad de Las Palmas de Gran Canaria, Spain
Venue:
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Year:
2005

Citing 4
Cited 2

Pfinder: Real-Time Tracking of the Human Body

IEEE Transactions on Pattern Analysis and Machine Intelligence
Looking at People: Sensing for Ubiquitous and Wearable Computing

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Learning of Multi-view Face Detection

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV

Face detection using multiple cues

SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Robust real time face tracking for the analysis of human behaviour

MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a face detection system conceived to process video streams in real-time. Cue combination allows the system to tackle the temporal restrictions achieving a notable detection rate. The system developed is able to detect simultaneously at different resolutions multiple individuals building a feature based model for each detected face.