Monocular Head Pose Estimation
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Facial pose estimation using a symmetrical feature model
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Large head movement tracking using scale invariant view-based appearance model
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A particle filtering framework for joint video tracking and pose estimation
IEEE Transactions on Image Processing
A robust head pose estimation system for uncalibrated monocular videos
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
An Algorithm for Finding Repeated Solutions to the General Perspective Three-Point Pose Problem
Journal of Mathematical Imaging and Vision
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In this paper we present a robust method to recover 3D position and orientation (pose) of a moving head using a single stationary camera. Head pose is recovered via a camera pose estimation formulation. 3D feature points (artificial or natural occurring) are acquired from the head prior to tracking and used as a model. Pose is estimated by solving a robust version of "Perspective n Point" problem. The proposed algorithm can handle self occlusions, outliers and recover from tracking failures. Results were validated by simultaneous tracking using our system and an accurate magnetic field 3D measuring device. Our contribution is a system that is not restricted to track only human heads, and is accurate enough to be used as a measuring device. To demonstrate the applicability of our method, three types of heads (human, barn owl, chameleon) were tracked in a series of biological experiments.