Translator Disclaimer
Paper
30 May 2002 Detection and tracking of facial features under a complex background
Author Affiliations +
Proceedings Volume 4662, Human Vision and Electronic Imaging VII; (2002) https://doi.org/10.1117/12.469544
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
A coarse-to-fine facial feature detection and tracking system which is used under complex background is introduced in this paper. The system uses stereo cameras for video input. By stereovision technique, face is roughly and quickly segmented from complex background. Then, the multiple template matching method is applied to find the accurate face region from this rough segmentation. Facial organ candidates are extracted from the detected face region at a specific scale space called organ scale for Sobel filter. Finally, eyes, nose and mouth corners are detected. Techniques for checking and correcting errors in facial feature detection based on multiple cues are developed to make the algorithm more robust in facial feature detection and tracking in video sequence. Experiments on 189 video sequences demonstrate its effectiveness.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Zhuang, Guang-you Xu, Haizhou Ai, and Gang Song "Detection and tracking of facial features under a complex background", Proc. SPIE 4662, Human Vision and Electronic Imaging VII, (30 May 2002); https://doi.org/10.1117/12.469544
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Effective indexing for face recognition
Proceedings of SPIE (September 28 2016)
Face location and recognition
Proceedings of SPIE (April 22 1996)
Face recognition in complex backgrounds
Proceedings of SPIE (September 15 2004)

Back to Top