Tracking-by-Detection of 3D Human Shapes: From Surfaces to Volumes

3D Human shape tracking consists in fitting a template model to temporal sequences of visual observations. It usually comprises an association step, that finds correspondences between the model and the input data, and a deformation step, that fits the model to the observations given correspondences....

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 40; H. 8; S. 1994 - 2008
Hauptverfasser:	Huang, Chun-Hao Paul, Allain, Benjamin, Boyer, Edmond, Franco, Jean-Sebastien, Tombari, Federico, Navab, Nassir, Ilic, Slobodan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	3D tracking-by-detection centroidal Voronoi tessellation Computer Science Computer Vision and Pattern Recognition Data models Deformable models Deformation discriminative associations Iterative closest point algorithm Iterative methods random forest Robustness Shape Shape memory Shape recognition Shape tracking Stability analysis State of the art Surface reconstruction Tessellation Three-dimensional displays Tracking Tracking errors Visual observation 3D tracking-by-detection centroidal Voronoi tessellation random forest Shape tracking discriminative associations
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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