Abstract
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. © 1964-2012 IEEE.
Recommended Citation
Y. Zhou et al., "Spatiotemporal Smoothing as a Basis for Facial Tissue Tracking in Thermal Imaging," IEEE Transactions on Biomedical Engineering, vol. 60, no. 5, pp. 1280 - 1289, article no. 6378437, Institute of Electrical and Electronics Engineers, May 2013.
The definitive version is available at https://doi.org/10.1109/TBME.2012.2232927
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Facial tracking; matte; sleep studies; stress studies; thermal imaging
International Standard Serial Number (ISSN)
1558-2531; 0018-9294
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 May 2013
PubMed ID
23247840
