Modeling Spatial Relations of Human Body Parts for Indexing and Retrieving Close Character Interactions

Ho, Edmond, Chan, Jacky, Cheung, Yiu-ming and Yuen, Pong C. (2015) Modeling Spatial Relations of Human Body Parts for Indexing and Retrieving Close Character Interactions. In: VRST '15 - 21st ACM Symposium on Virtual Reality Software and Technology, 13th - 15th Nov 2015, Beijing, China.

Full text not available from this repository. (Request a copy)
Official URL: http://doi.acm.org/10.1145/2821592.2821617

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: close interaction, human motion, motion classification, motion retrieval, spatial relations
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Edmond S. L. Ho
Date Deposited: 02 Nov 2016 16:07
Last Modified: 02 Nov 2016 16:07
URI: http://nrl.northumbria.ac.uk/id/eprint/28270

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence