发明授权
US07778446B2 Fast human pose estimation using appearance and motion via multi-dimensional boosting regression 有权
通过多维加速回归,使用外观和运动的快速人体姿态估计

Fast human pose estimation using appearance and motion via multi-dimensional boosting regression
摘要:
Methods and systems are described for three-dimensional pose estimation. A training module determines a mapping function between a training image sequence and pose representations of a subject in the training image sequence. The training image sequence is represented by a set of appearance and motion patches. A set of filters are applied to the appearance and motion patches to extract features of the training images. Based on the extracted features, the training module learns a multidimensional mapping function that maps the motion and appearance patches to the pose representations of the subject. A testing module outputs a fast human pose estimation by applying the learned mapping function to a test image sequence.
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