Motion segmentation and retrieval for 3D video based on modified shape distribution

Authors:
Toshihiko Yamasaki;Kiyoharu Aizawa
Affiliations:
Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan;Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2007

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Abstract

A similar motion search and retrieval system for 3D video are presented based on a modified shape distribution algorithm. 3D video is a sequence of 3D models made for a real-world object. In the present work, three fundamental functions for efficient retrieval have been developed: feature extraction, motion segmentation, and similarity evaluation. Stable-shape feature representation of 3D models has been realized by a modified shape distribution algorithm. Motion segmentation has been conducted by analyzing the degree of motion using the extracted feature vectors. Then, similar motion retrieval has been achieved employing the dynamic programming algorithm in the feature vector space. The experimental results using 3D video sequences of dances have demonstrated very promising results for motion segmentation and retrieval.