NDLI: Human motion segmentation using collaborative representations of 3D skeletal sequences

Content Provider	IET Digital Library
Author	Li, Rui Liu, Zhenyu Tan, Jianrong
Abstract	Currently, human motion analysis using three-dimensional (3D) data creates closer awareness in computer vision with the introduction of cost-effective Kinect or other depth cameras. This study attempts to segment a continuous 3D skeletal sequence into several disjointed sub-sequences, each of which is corresponding to a complete action. To address this issue, the authors propose a supervised time-series segmentation algorithm. A bidirectional propagation search scheme is employed to reach a solution. Specifically, a human skeleton is formulated as a point in multidimensional space, and a motion trajectory is further represented as a sequence. Each training action sequence serves as an atom in a dictionary, which is adopted by an l 2 -regularised collaborative representation classifier. Based on the fact that the reconstruction error of the collaborative representation measures the similarity between a test sub-sequence and training sequences, they utilise its variation over time to capture action transition. Cut point detection and sub-sequence recognition are simultaneously achieved. Experiments on the authors’ recorded 3D skeletal sequences demonstrate that the proposed algorithm outperforms existing human motion segmentation techniques. Their algorithm is capable of extending to segment various dimensional sequences. This extensibility is validated by synthetic signal segmentation experiments.
Starting Page	434
Ending Page	442
Page Count	9
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 4, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2016.0385
Journal	IET Computer Vision
Publisher Date	2017-12-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Data Bidirectional Propagation Search Scheme Camera Combinatorial Mathematics Computer Vision Computer Vision And Image Processing Technique Continuous 3D Skeletal Sequence Collaborative Representation Cost-effective Kinect Cut Point Detection Depth Cameras Graphics Technique Human Motion Segmentation Image Classification Image Motion Analysis Image Recognition Image Reconstruction Image Representation Image Segmentation Image Sequence L2-regularised Collaborative Representation Classifier Motion Trajectory Multidimensional Space Optimisation Technique Reconstruction Error Search Problem Statistics Stereo Image Processing Subsequence Recognition Supervised Time-series Segmentation Algorithm Synthetic Signal Segmentation Experiments Three-dimensional Data Time Series Training Action Sequence Training Sequence
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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