Reliable and fast tracking of faces under varying pose

Tao Yang, Stan Z. Li, Quan Pan, Jing Li, Chunhui Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

This paper presents a system that is able to track multiple faces under varying pose (tilted and rotated) reliably in real-time. The system consists of two interactive modules. The first module performs detection of face subject to rotations. The second does online learning based face tracking. A mechanism of switching between the two modules is embedded into the system to automatically decide the best strategy for reliable tracking. The mechanism enables smooth transit between the detection and tracking module when one of them gives no results or unreliable results. Results demonstrate that the system can make reliable real-time tracking of multiple faces in complex background under out-of-plane rotation, up to 90 degree tilting, fast nonlinear motion, partial occlusion, large scale changes, and camera motion.

Original languageEnglish
Title of host publicationFGR 2006
Subtitle of host publicationProceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Pages421-426
Number of pages6
DOIs
StatePublished - 2006
EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
Duration: 10 Apr 200612 Apr 2006

Publication series

NameFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Volume2006

Conference

ConferenceFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
Country/TerritoryUnited Kingdom
CitySouthampton
Period10/04/0612/04/06

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