Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
Imaging the Cardiovascular Pulse
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Imaging Facial Physiology for the Detection of Deceit
International Journal of Computer Vision
Computer Vision and Image Understanding
Interacting with human physiology
Computer Vision and Image Understanding
A Closed-Form Solution to Natural Image Matting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Harvesting the thermal cardiac pulse signal
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Robust online appearance models for visual tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Collaborative tracking for MRI-guided robotic intervention on the beating heart
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Eustressed or distressed?: combining physiology with observation in user studies
CHI '12 Extended Abstracts on Human Factors in Computing Systems
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Accurate tracking of facial tissue in thermal infrared imaging is challenging because it is affected not only by positional but also physiological (functional) changes. This article presents a particle filter tracker driven by a probabilistic template function with both spatial and temporal smoothing components, which is capable of adapting to abrupt positional and physiological changes. The method was tested on tracking facial regions of subjects under varying physiological and environmental conditions in 12 thermal clips. It demonstrated robustness and accuracy, outperforming other strategies. This new method promises improved performance in a host of biomedical applications that involve physiological measurements on the face, like unobtrusive sleep studies.