NDLI: Human action recognition based on tensor shape descriptor

Content Provider	IET Digital Library
Author	Li, Jianjun Mao, Xia Wu, Xingyu Liang, Xiaogeng
Abstract	Human action recognition is an important task. This study presents an efficient framework for recognising action with a 3D skeleton kinematic joint model in less computational time for practical usage. First, a tensor shape descriptor (TSD) is proposed in this study, which takes advantage of the spatial independence of body joints, avoids a lot of difficult problem of the explicit motion estimation required in traditional methods, reserves the spatial information of each frame. Thus, the new TSD is a complete and view-invariant descriptor. Second, a novel tensor dynamic time warping (TDTW) method is proposed to measure joint-to-joint similarity of 3D skeletal body joints locally in the temporal extent, which is implemented by extending DTW to that of two multiway data arrays (or tensors). Then, a multi-linear projection process is employed to map the TSD to a low-dimensional tensor subspace, which is classified by the nearest neighbour classifier. The experiment results on the public action data set (MSR-Action3D) and motion capture data set (CMU_Mocap) show that the proposed method can achieve a comparable or better performance in recognition accuracy compared with the state-of-the-art approaches.
Starting Page	905
Ending Page	911
Page Count	7
ISSN	17519632
Volume Number	10
e-ISSN	17519640
Issue Number	Issue 8, Dec (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/10/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2016.0048
Journal	IET Computer Vision
Publisher Date	2016-07-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Skeleton Kinematic Joint Model Algebra CMU_Mocap Computer Vision And Image Processing Technique Explicit Motion Estimation Gesture Recognition Human Action Recognition Image Classification Image Recognition Joint-to-joint Similarity Low-dimensional Tensor SubSpace Motion Capture Data Set Motion Estimation MSR-Action3D Multilinear Projection Process Nearest Neighbour Classifier Novel Tensor Dynamic Time Warping Method Public Action Data Set TDTW Method Tensor Shape Descriptor Tensors TSD
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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