Generating Concise Rules for Human Motion Retrieval

Tomohiko MUKAI  Ken-ichi WAKISAKA  Shigeru KURIYAMA 

Publication
IEICE TRANSACTIONS on Information and Systems  Vol.E93-D  No.6  pp.1636-1643
Publication Date: 2010/06/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Computer Graphics
Keyword: 
motion capture,  motion indexing,  motion appearance feature,  inductive logic, 

Full Text: PDF

Summary: 
This paper proposes a method for retrieving human motion data with concise retrieval rules based on the spatio-temporal features of motion appearance. Our method first converts motion clip into a form of clausal language that represents geometrical relations between body parts and their temporal relationship. A retrieval rule is then learned from the set of manually classified examples using inductive logic programming (ILP). ILP automatically discovers the essential rule in the same clausal form with a user-defined hypothesis-testing procedure. All motions are indexed using this clausal language, and the desired clips are retrieved by subsequence matching using the rule. Such rule-based retrieval offers reasonable performance and the rule can be intuitively edited in the same language form. Consequently, our method enables efficient and flexible search from a large dataset with simple query language.