volume 34, issue 6, P523-533 2010
DOI: 10.1016/j.compmedimag.2009.11.004
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Abstract: Existing video monitoring techniques for sleep apnoea require clinicians to analyze substantial amounts of video data. Analysis of the covered human body from video is a challenging task as traditional computer vision methods such as correlation, template matching, background subtraction, contour models and related techniques for object tracking become ineffective because of the large degree of occlusion for long periods. To the authors' best knowledge, there is no previously published method to estimate pose …

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