Publication

Localization of human faces fusing color segmentation and depth from stereo

Conference Article

Conference

IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Edition

8th

Pages

527-535

Doc link

http://dx.doi.org/10.1109/ETFA.2001.997729

File

Download the digital copy of the doc pdf document

Abstract

This paper describes a method to localize faces in color images based on the fusion of the information gathered from a stereo vision system and the analysis of color images. Our method generates a depth map of the scene and tries to fit a head model taking into account the shape of the model and skin color information. The method is tailored for its use in factory automation applications where the detection and localization of humans is necessary for the completion or interruption of a particular task,

such as robot manipulator safety or the interaction of service robots with humans.

Categories

computer vision, object detection.

Author keywords

face detection, stereovision, color histograms, human detection, face localization

Scientific reference

F. Moreno-Noguer, J. Andrade-Cetto and A. Sanfeliu. Localization of human faces fusing color segmentation and depth from stereo, 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001, Antibes-Juan les Pins, França, pp. 527-535, IEEE.