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Spatiotemporal Smoothing as a Basis for Facial Tissue Tracking in Thermal Imaging
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 paper presents a particle filter tracker driven by a probabilistic template function with both spatial and temporal smoothing...
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Published in: | IEEE transactions on biomedical engineering 2013-05, Vol.60 (5), p.1280-1289 |
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creator | Zhou, Yan Tsiamyrtzis, Panagiotis Lindner, Peggy Timofeyev, Ilya Pavlidis, Ioannis |
description | 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 paper 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 25 thermal clips. It demonstrated robustness and accuracy, outperforming other strategies. This new method promises improved performance in a number of biomedical applications that involve physiological measurements on the face, such as unobtrusive sleep and stress studies. |
doi_str_mv | 10.1109/TBME.2012.2232927 |
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source | IEEE Xplore All Conference Series; IEEE Electronic Library (IEL) Journals |
subjects | Algorithms Cost function Databases, Factual Face - physiology Facial tracking Head Movements - physiology Humans Imaging Infrared Rays matte Physiology Signal Processing, Computer-Assisted sleep studies Stress stress studies Target tracking thermal imaging Thermography - methods Visualization |
title | Spatiotemporal Smoothing as a Basis for Facial Tissue Tracking in Thermal Imaging |
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