Motion track: Visualizing variations of human motion data

Yueqi Hu, Shuangyuan Wu, Shi-hong Xia, Jinghua Fu, Wei Chen
{"title":"Motion track: Visualizing variations of human motion data","authors":"Yueqi Hu, Shuangyuan Wu, Shi-hong Xia, Jinghua Fu, Wei Chen","doi":"10.1109/PACIFICVIS.2010.5429596","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel visualization approach, which can depict the variations between different human motion data. This is achieved by representing the time dimension of each animation sequence with a sequential curve in a locality-preserving reference 2D space, called the motion track representation. The principal advantage of this representation over standard representations of motion capture data - generally either a keyframed timeline or a 2D motion map in its entirety - is that it maps the motion differences along the time dimension into parallel perceptible spatial dimensions but at the same time captures the primary content of the source data. Latent semantic differences that are difficult to be visually distinguished can be clearly displayed, favoring effective summary, clustering, comparison and analysis of motion database.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Pacific Visualization Symposium (PacificVis)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACIFICVIS.2010.5429596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37

Abstract

This paper proposes a novel visualization approach, which can depict the variations between different human motion data. This is achieved by representing the time dimension of each animation sequence with a sequential curve in a locality-preserving reference 2D space, called the motion track representation. The principal advantage of this representation over standard representations of motion capture data - generally either a keyframed timeline or a 2D motion map in its entirety - is that it maps the motion differences along the time dimension into parallel perceptible spatial dimensions but at the same time captures the primary content of the source data. Latent semantic differences that are difficult to be visually distinguished can be clearly displayed, favoring effective summary, clustering, comparison and analysis of motion database.
运动轨迹:可视化人类运动数据的变化
本文提出了一种新的可视化方法,可以描述不同人体运动数据之间的变化。这是通过在保持位置的参考2D空间中用顺序曲线表示每个动画序列的时间维度来实现的,称为运动轨迹表示。这种表示相对于动作捕捉数据的标准表示(通常是关键帧时间轴或完整的2D运动地图)的主要优势在于,它将运动差异沿着时间维度映射到平行的可感知空间维度,但同时捕获源数据的主要内容。视觉上难以区分的潜在语义差异可以被清晰地显示出来,有利于对运动数据库进行有效的总结、聚类、比较和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信