Correction: Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes

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Correction: Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes

open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Correction: Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes

Table 1 was erroneously published twice, once as Table 1 and once as Table 2. All references to Table 2 refer to Table 1. The following information is missing from the Funding section: This research was supported by the National Science Foundation (NSF) (ITR 0325428, HCC 0834847, DRL 1235958, and Graduate Research Fellowship under Grant No. 1122374). Any opinions, findings, conclusions, or reco...

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Motion Tracker : Camera - based Monitoring of Bodily Movements using Motion

Researchers in the cognitive and affective sciences investigate how thoughts and feelings are reflected in the bodily response systems including peripheral physiology, facial features, and body movements. One specific question along this line of research is how cognition and affect are manifested in the dynamics of general body movements. Progress in this area can be accelerated by inexpensive,...

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Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes

Researchers in the cognitive and affective sciences investigate how thoughts and feelings are reflected in the bodily response systems including peripheral physiology, facial features, and body movements. One specific question along this line of research is how cognition and affect are manifested in the dynamics of general body movements. Progress in this area can be accelerated by inexpensive,...

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Motion-based mesh segmentation using augmented silhouettes

Motion-based segmentation, the problem of detecting rigid parts of an articulated three-dimensional shape, is an open challenge that has several applications in mesh animation, compression, and interpolation. We present a novel approach that uses the visual perception of the shape and its motion to distinguish the rigid from the deformable parts of the object. Using twodimensional projections o...

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ژورنال

عنوان ژورنال: PLOS ONE

سال: 2015

ISSN: 1932-6203

DOI: 10.1371/journal.pone.0138636