Human pose estimation from volume data and topological graph database

Authors:
Hidenori Tanaka;Atsushi Nakazawa;Haruo Takemura
Affiliations:
Graduate School of Information Science and Technology, Osaka University, Toyonaka-shi, Osaka, Japan;Cybermedia Center, Osaka University, Toyonaka-shi, Osaka, Japan;Cybermedia Center, Osaka University, Toyonaka-shi, Osaka, Japan
Venue:
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Year:
2007

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Abstract

This paper proposes a novel volume-based motion capture method using a bottom-up analysis of volume data and an example topology database of the human body. By using a two-step graph matching algorithm with many example topological graphs corresponding to postures that a human body can take, the proposed method does not require any initial parameters or iterative convergence processes, and it can solve the changing topology problem of the human body. First, three-dimensional curved lines (skeleton) are extracted from the captured volume data using the thinning process. The skeleton is then converted into an attributed graph. By using a graph matching algorithm with a large amount of example data, we can identify the body parts from each curved line in the skeleton. The proposed method is evaluated using several video sequences of a single person and multiple people, and we can confirm the validity of our approach.