We present a new action classification method for skeletal sequence data. The proposed method is based on simple nonparametric feature matching without a�...

Jun 6, 2018 � SUMMARY. We present a new action classification method for skele- tal sequence data. The proposed method is based on simple nonparametric.

We present a new action classification method for skeletal sequence data. The proposed method is based on simple nonparametric feature matching without a�...

We present a new action classification method for skeletal sequence data. The proposed method is based on simple nonparametric feature matching without a�...

Jun 1, 2018 � Summary: We present a new action classification method for skeletal sequence data. The proposed method is based on simple nonparametric feature�...

In this paper, a new motion image is introduced to transform spatial-temporal motion information into image-based representations. For each skeleton sequence,�...

Ju Yong Chang, Yong Seok Heo: Data Augmented Dynamic Time Warping for Skeletal Action Classification. IEICE Trans. Inf. Syst. 101-D(6): 1562-1571 (2018).

<p>We present a new action classification method for skeletal sequence data. The proposed method is based on simple nonparametric feature matching without a�...

Apr 12, 2022 � Therefore, in this paper, a novel approach to time series augmentation is proposed. The method improves the suboptimal warped time series�...

Sequence Alignment. Dynamic Time Warping (DTW) has become the de facto standard for unsupervised sequence matching due to its simplicity and generality for�...