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Proceedings Paper

Example-based analysis and alignment system for human motion data
Author(s): Longfei Zhang; Enqing Chen
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Paper Abstract

With the evolution and spread of motion capture system , human motion data can be obtained and saved in a variety of forms. Due to the huge amounts of human motion data, we need a more effective method to analyze for the target motion sequence. In this paper, an efficient system is presented for aligning motion based on the similarity of the motion data distribution, the process of analysis system includes two primary phases: offline motion database building and online aligning. We will get a result of similarity matching which is processed to describe corresponding relationship between two motion sequences. As a method to measure motion similarity, segmented Dynamic Time Warping algorithm is explored to support the aligning matches. The experimental results show that it's precise and efficient to align motion segments, finally we programmed the user interface based on the proposed system.

Paper Details

Date Published: 9 August 2018
PDF: 7 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064D (9 August 2018); doi: 10.1117/12.2502886
Show Author Affiliations
Longfei Zhang, Zhengzhou Univ. (China)
Enqing Chen, Zhengzhou Univ. (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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