Motion Recognition based on Sparse Representation and 3D Spatial– Temporal Feature

Xiang Jian
2014 International Journal of Multimedia and Ubiquitous Engineering  
The emergence of a large number of databases for capturing 3D human motions has made the efficient analysis and processing of human motion data to effectively use these databases a new challenge. To reduce high-dimension complexity, a dimensional feature based on the 3D spatial-temporal characteristic should be extracted from human motions. Moreover, the motion data should be re-expressed by sparse representation to realize the projection from high dimensional data to a low-dimensional
more » ... imensional subspace. The different motions should then be recognized and classified to obtain the automatic recognition and automatic retrieval of 3D human motions.
doi:10.14257/ijmue.2014.9.9.01 fatcat:t4575xui4zbxvfkdynrkd254ki