Joint movement similarities for robust 3D action recognition using skeletal data ?
Action recognition using a combination of spatio-temporal skeleton based features. New data-driven methods for extracting discriminative features in each action class. A new similarity function based on LCSS for classification of new action instances. Evaluation of the approach using Kinect and mocap data showed improved performance. The approach achieved higher classification rate for noisy data in contrast to DTW.
discriminative features similarity function human action recognition longest common subsequence algorithm kinect camera motion capture system motion pattern trajectory modeling