Human Action Recognition Using Dynamic Time Warping and Voting Algorithm (1)
Pham, Chinh Huu Le, Quoc Khanh Le, Thanh Ha This paper presents a human action recognition method using dynamic time warping and voting algorithmson 3D human skeletal models. In this method human actions, which are the combinations of multiple body part movements, are described by feature matrices concerning both spatial and temporal domains. The feature matrices are created based on the spatial selection of relative angles between body parts in time series. Then, action recognition is done by applying a classifier which is the combination of dynamic time warping (DTW) and a voting algorithm to the feature matrices. Experimental results show that the performance of our action recognition method obtains high recognition accuracy at reliable computation speed and can be applied in real time human action recognition systems. Chi tiết xin mời tham khảo tại http://repository.vnu.edu.vn/handle/VNU_123/56668 Title: Human Action Recognition Using Dynamic Time Warping and Voti...