An approach of visual motion analysis
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models
Pattern Recognition Letters
Adaptive multi-modal stereo people tracking without background modelling
Journal of Visual Communication and Image Representation
Simultaneous Facial Action Tracking and Expression Recognition in the Presence of Head Motion
International Journal of Computer Vision
Evaluation of an appearance-based 3D face tracker using dense 3D data
Machine Vision and Applications
Measuring scene complexity to adapt feature selection of model-based object tracking
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
3D face tracking using appearance registration and robust iterative closest point algorithm
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Rigid and non-rigid face motion tracking by aligning texture maps and stereo-based 3d models
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
A new fuzzy based algorithm for solving stereo vagueness in detecting and tracking people
International Journal of Approximate Reasoning
3D head tracking for fall detection using a single calibrated camera
Image and Vision Computing
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A system that performs the tracking of a human head in 3D in real time is presented. The head shape is modeled by an ellipse with a trained color histogram of skin and hair samples. The color histogram is dynamically updated based on incoming image data in order to accommodate for varying illumination conditions. On the other hand, the size of the searched ellipse projected on the image is scaled depending on the depth information gathered from stereo vision. The strength of our method resides on the use of a predictive filter to fuse color and depth information, iteratively refining the location of the head in 3D and the parametersof the head color histogram.