@article{(Open Science Index):https://publications.waset.org/pdf/10009574, title = {Relevant LMA Features for Human Motion Recognition}, author = {Insaf Ajili and Malik Mallem and Jean-Yves Didier}, country = {}, institution = {}, abstract = {Motion recognition from videos is actually a very complex task due to the high variability of motions. This paper describes the challenges of human motion recognition, especially motion representation step with relevant features. Our descriptor vector is inspired from Laban Movement Analysis method. We propose discriminative features using the Random Forest algorithm in order to remove redundant features and make learning algorithms operate faster and more effectively. We validate our method on MSRC-12 and UTKinect datasets.}, journal = {International Journal of Computer and Information Engineering}, volume = {12}, number = {9}, year = {2018}, pages = {792 - 796}, ee = {https://publications.waset.org/pdf/10009574}, url = {https://publications.waset.org/vol/141}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 141, 2018}, }