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

Ho, Edmond S. L., 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.

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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 and Information Sciences
Depositing User: Edmond Ho
Date Deposited: 02 Nov 2016 16:07
Last Modified: 10 Sep 2018 12:15

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