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Fast human pose estimation using appearance and motion via multi-dimensional boosting regression

机译：通过多维增强回归使用外观和运动进行快速人体姿态估计

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Alessandro Bissacco; Ming-hsuan Yang; Stefano Soatto;
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年度 2015
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1. Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living [J] . Yixiao Yun, Irene Yu-Hua Gu Computer vision and image understanding . 2016,第Jula期

机译：通过增强和融合黎曼流形上的外观，形状和运动动力学的统计特征并将其融合到辅助生活中来检测视频中的人跌倒
2. Occluded Appearance Modeling with Sample Weighting for Human Pose Estimation [J] . Yuki KAWANA, Norimichi UKITA IEICE transactions on information and systems . 2017,第10期

机译：用于人体姿势估计的具有样本加权的闭塞外观建模
3. Discriminative fusion of shape and appearance features for human pose estimation [J] . Sedai, S., Bennamoun, M., Huynh, D.Q. Pattern Recognition: The Journal of the Pattern Recognition Society . 2013,第12期

机译：形状和外观特征的区分性融合用于人体姿势估计
4. Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression [C] . Bissacco, A., Ming-Hsuan Yang, Computer Vision and Pattern Recognition (CVPR), 2007 IEEE Conference on . 2007

机译：使用外观和运动通过多维Boosting回归进行快速人体姿态估计
5. Estimation of Human Poses Categories and Physical Object Properties from Motion Trajectories [D] . Fathollahi Ghezelghieh, Mona. 2017

机译：从运动轨迹估计人体姿势类别和物理对象属性
6. Muscle Synergy and Musculoskeletal Model-Based Continuous Multi-Dimensional Estimation of Wrist and Hand Motions [O] . Yeongdae Kim, Sorawit Stapornchaisit, Hiroyuki Kambara, 2020

机译：基于肌肉协同和肌肉骨骼模型的腕部和手部运动连续多维估计
7. Improving human activity detection by combining multi-dimensional motion descriptors with boosting [O] . Ogata T, Christmas W, Kittler J, 2006

机译：通过将多维运动描述符与Boosting相结合来改善人类活动检测

Fast human pose estimation using appearance and motion via multi-dimensional boosting regression

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