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基于3D人体骨架的动作识别

张友梅 常发亮 刘洪彬

电子学报2017,Vol.45Issue(4):906-911,6.
电子学报2017,Vol.45Issue(4):906-911,6.DOI:10.3969/j.issn.0372-2112

基于3D人体骨架的动作识别

Action Recognition Based on 3D Skeleton

张友梅 1常发亮 1刘洪彬1

作者信息

  • 1. 山东大学控制科学与工程学院,山东济南 250061
  • 折叠

摘要

Abstract

This paper presents an action recognition method based on 3D skeleton.This method redefines the coordinates of the articulations which belong to the skeleton to form a simplistic skeleton model firstly.Then a reformative dynamic time warping (R-DTW) algorithm is applied to implement action recognition.There are no two persons identical in an action owing to the difference of body size,shape and action expression.The simplistic skeleton model could decrease this intra-class variability effectively.The drawbacks of conventional DTW algorithm lie in high computational complexity and low recognition efficiency.To solve this problem,we design a method named "Planning & Refining".We conduct this algorithm on MSR Action3D dataset and the results demonstrate its effectiveness.

关键词

人体骨架/动态时间规整/动作识别

Key words

skeleton/reformative dynamic time warping(R-DTW)/action recognition

分类

信息技术与安全科学

引用本文复制引用

张友梅,常发亮,刘洪彬..基于3D人体骨架的动作识别[J].电子学报,2017,45(4):906-911,6.

基金项目

国家自然科学基金(No.61273277,No.61673244) (No.61273277,No.61673244)

高等学校博士学科点专项科研基金(No.20130131110038) (No.20130131110038)

电子学报

OA北大核心CSCDCSTPCD

0372-2112

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