Body temperature estimation of a moving subject from thermographic images
The continual measurement of the body temperature of a moving subject in a non-invasive way is a challenging task. However, doing so enables the observation of important phenomena with not much inconvenience to the subject, and can be a powerful tool for understanding physiological reactions to dise...
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| Veröffentlicht in: | Machine vision and applications 2012-03, Vol.23 (2), p.299-311 |
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| container_end_page | 311 |
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| container_title | Machine vision and applications |
| container_volume | 23 |
| creator | Bilodeau, Guillaume-Alexandre Torabi, Atousa Lévesque, Maxime Ouellet, Charles Langlois, J. M. Pierre Lema, Pablo Carmant, Lionel |
| description | The continual measurement of the body temperature of a moving subject in a non-invasive way is a challenging task. However, doing so enables the observation of important phenomena with not much inconvenience to the subject, and can be a powerful tool for understanding physiological reactions to diseases and medications. In this paper, we present a method to obtain the body temperature on a moving subject from thermographic images. The camera’s output (a measurement for each pixel) is processed with a particle filter tracker, a clustering algorithm, and a Kalman filter to reduce tracking and measurement noise. The method was tested on videos from animal experiments and on a human patient. Tracking performance was then evaluated by comparison with manually selected regions of interest in thermographic images. The method achieves RMS temperature estimation errors of |
| doi_str_mv | 10.1007/s00138-010-0313-9 |
| format | Article |
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The method was tested on videos from animal experiments and on a human patient. Tracking performance was then evaluated by comparison with manually selected regions of interest in thermographic images. 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| ispartof | Machine vision and applications, 2012-03, Vol.23 (2), p.299-311 |
| issn | 0932-8092 1432-1769 |
| language | eng |
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| subjects | Algorithms Body temperature Clustering Communications Engineering Computer Science Human performance Image Processing and Computer Vision Kalman filters Networks Noise measurement Noise reduction Original Paper Pattern Recognition Thermography Tracking Vision systems |
| title | Body temperature estimation of a moving subject from thermographic images |
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