A spatial first 3-D XYT feature point extraction algorithm for efficient human action recognition
In this paper, we present a novel method of 3-D XYT feature extraction for efficient human action recognition. We propose the spatial first 3D feature extraction method to reduce the computation time and data bandwidth compared with Harris 3D corner detection. We also present experimental results through the proposed spatial first feature extraction to reach 83.33% accuracy of human action recognition through KTH dataset. Finally, we demonstrate the 67.8% computation time and 66.7% bandwidth reduction for the efficient human action recognition system.