Abstract
We present an algorithm for view-independent human gait recognition. The human gait recognition is achieved using data obtained by our markerless 3D motion tracking algorithm. The tensorial gait data were reduced by multilinear principal component analysis and subsequently classified. The performance of the motion tracking algorithm was evaluated using ground-truth data from MoCap. The classification accuracy was determined using video sequences with walking performers. Experiments on multiview video sequences show the promising effectiveness of the proposed algorithm. © 2012 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Krzeszowski, T., Kwolek, B., Michalczuk, A., Świtoński, A., & Josiński, H. (2012). View independent human gait recognition using markerless 3d human motion capture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7594 LNCS, pp. 491–500). Springer Verlag. https://doi.org/10.1007/978-3-642-33564-8_59
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
