Direct Prediction of 3D Body Poses from Motion Compensated Sequences

CVPR 2016 Bugra TekinArtem RozantsevVincent LepetitPascal Fua

We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically compute candidate poses in individual frames and then link them in a post-processing step to resolve ambiguities... (read more)

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