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

Ho, E.S.L. , Chan, J.C.P., Cheung, Y.-M. and Yuen, P.C. (2015) Modeling Spatial Relations of Human Body Parts for Indexing and Retrieving Close Character Interactions. In: VRST '15: 21th ACM Symposium on Virtual Reality Software and Technology, Beijing China, 13 - 15 November 2015, pp. 187-190. ISBN 9781450339902 (doi: 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 Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ho, Dr Edmond S. L
• Authors: Ho, E.S.L., Chan, J.C.P., Cheung, Y.-M., and Yuen, P.C.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
• ISBN: 9781450339902