Modeling spatial relations of human body parts for indexing and retrieving close character interactions

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Retrieving pre-captured human motion for analyzing and synthesizing virtual character movement have been widely used in Virtual Reality (VR) and interactive computer graphics applications. In this paper, we propose a new human pose representation, called Spatial Relations of Human Body Parts (SRBP), to represent spatial relations between body parts of the subject(s), which intuitively describes how much the body parts are interacting with each other. Since SRBP is computed from the local structure (i.e. multiple body parts in proximity) of the pose instead of the information from individual or pairwise joints as in previous approaches, the new representation is robust to minor variations of individual joint location. Experimental results show that SRBP outperforms the existing skeleton-based motion retrieval and classification approaches on benchmark databases.

Original languageEnglish
Title of host publicationProceedings - VRST 2015
Subtitle of host publication21st ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
Pages187-190
Number of pages4
ISBN (Electronic)9781450339902
DOIs
Publication statusPublished - 13 Nov 2015
Event21st ACM Symposium on Virtual Reality Software and Technology, VRST 2015 - Beijing, China
Duration: 13 Nov 201515 Nov 2015

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
Volume13-15-November-2015

Conference

Conference21st ACM Symposium on Virtual Reality Software and Technology, VRST 2015
Country/TerritoryChina
CityBeijing
Period13/11/1515/11/15

Scopus Subject Areas

  • Software

User-Defined Keywords

  • Close interaction
  • Human motion
  • Motion classification
  • Motion retrieval
  • Spatial relations

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