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.
申请公布号
WO2008070701(A2)
申请公布日期
2008.06.12
申请号
WO2007US86458
申请日期
2007.12.05
申请人
HONDA MOTOR CO., LTD.;YANG, MING-HSUAN;BISSACCO, ALESSANDRO