원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.9 No.9
2014.09
pp.1-8
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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 subspace. The different motions should then be recognized and classified to obtain the automatic recognition and automatic retrieval of 3D human motions.
목차
Abstract
1. Introduction
2. Extraction of Motion Data Features
2.1. Calculation of Three-dimensional Space
2.2. Sparse Representation of Motion
2.3. Motion Recognition based on Sparse Representation
3. Experimental Results and Analysis
Acknowledgements
References
1. Introduction
2. Extraction of Motion Data Features
2.1. Calculation of Three-dimensional Space
2.2. Sparse Representation of Motion
2.3. Motion Recognition based on Sparse Representation
3. Experimental Results and Analysis
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보