3D Ballet Motion Tracking from Shape Context by Using Differential Regression

被引：0

作者：

Tong, Minglei ^{[1
]}

Han, Hong ^{[2
]}

Chen, Shudong ^{[3
]}

机构：

[1] Shanghai Univ Elect Power, Sch Elect & Informat Engn, Shanghai, Peoples R China

[2] Xidian Univ, Xian, Peoples R China

[3] Inst Microelect Chinese Acad Sci, Shanghai, Peoples R China

来源：

PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13) | 2013年 / 84卷

关键词：

3D Human motion; Differential Regression; Shape Context;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An improved method, differential regression, is proposed. It is a more powerful discriminative approach for human pose estimation. The proposed methods investigate 3D body pose reconstruction by learning a simply regression between state vector differences and observation vector. A simulation model is established on a 57 dimensions human skeleton. The comparison experiments between proposed method and traditional regression are carried out by using a sequence of images on Ballet dancing. The calculated deviations are greatly reduced by 50%.

引用

页码：486 / 493

页数：8

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