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@inproceedings{bb300758,
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@inproceedings{bb300759,
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@inproceedings{bb300760,
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@inproceedings{bb300761,
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A 3D Deformation Model for Tracking Faces, Hands, and Bodies",
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@inproceedings{bb300762,
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@inproceedings{bb300764,
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@inproceedings{bb300765,
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Boltzmann machine",
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@inproceedings{bb300766,
        AUTHOR = "Hua, K.L. and Sari, I.N. and Yeh, M.C.",
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Machine",
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@inproceedings{bb300767,
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        BOOKTITLE = CVPR16,
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@inproceedings{bb300768,
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@inproceedings{bb300769,
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@inproceedings{bb300770,
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Tracking",
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@string{3DTV-CON15 = "Experimental study of skeleton tracking abilities from microsoft
kinect non-frontal views"}

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@inproceedings{bb300773,
        AUTHOR = "Nair, B.M. and Kendricks, K.D. and Asari, V.K. and Tuttle, R.F.",
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Filtering",
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@inproceedings{bb300774,
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@inproceedings{bb300775,
        AUTHOR = "Tian, J.L. and Li, L. and Liu, W.Q.",
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Dependency",
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@inproceedings{bb300776,
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Temporal Constraints",
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@inproceedings{bb300777,
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Single Depth Sensor",
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@inproceedings{bb300778,
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Gaussians Models",
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@inproceedings{bb300779,
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and body-parts detection and tracking",
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@inproceedings{bb300780,
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scenes using ridge data",
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@inproceedings{bb300781,
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Automatic Muscle Control Curves Computation",
        BOOKTITLE = IWCIA14,
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@inproceedings{bb300782,
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@inproceedings{bb300783,
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@inproceedings{bb300784,
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for Tracking Human Poses",
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@inproceedings{bb300785,
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Component-Based Multiple Instance Learning with particle filtering",
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@inproceedings{bb300786,
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to boosted multiple instance learning",
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@inproceedings{bb300787,
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@inproceedings{bb300788,
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@inproceedings{bb300791,
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@inproceedings{bb300793,
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@inproceedings{bb300796,
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@inproceedings{bb300797,
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@inproceedings{bb300798,
        AUTHOR = "Valmadre, J. and Lucey, S.",
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