Person identification from spatio-temporal 3D gait

Yumi Iwashita, Ryosuke Baba, Koichi Ogawara, Ryo Kurazume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)

Abstract

This paper presents a spatio-temporal 3D gait database and a view independent person identification method from gait. In case that a target changes one's walking direction compared with that in a database, the correct classification rate is reduced due to the appearance change. To deal with this problem, several methods based on a view transformation model, which converts walking images from one direction to virtual images from different viewpoints, have been proposed. However, the converted image may not coincide the real one, since the target is not included in the training dataset to obtain the transformation model. So we propose a view independent person identificationmethod which creates a database with virtual images synthesized directly from the target's 3D model. In the proposed method, firstly we built a spatio-temporal 3D gait database using multiple cameras, which consists of sequential 3D models of multiple walking people. Then virtual images from multiple arbitrary viewpoints are synthesized from 3D models, and affine moment invariants are derived from virtual images as gait features. In the identification phase, images of a target who walks in an arbitrary direction are taken from one camera, and then gait features are calculated. Finally the person is identified and one's walking direction is estimated. Experiments using the spatio-temporal 3D gait database show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems
Pages30-35
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event2010 International Conference on Emerging Security Technologies, EST 2010, Robots and Security, ROBOSEC 2010, Learning and Adaptive Behavior in Robotic Systems, LAB-RS 2010 - Canterbury, United Kingdom
Duration: Sep 6 2010Sep 8 2010

Publication series

NameProceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems

Other

Other2010 International Conference on Emerging Security Technologies, EST 2010, Robots and Security, ROBOSEC 2010, Learning and Adaptive Behavior in Robotic Systems, LAB-RS 2010
CountryUnited Kingdom
CityCanterbury
Period9/6/109/8/10

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering

Cite this

Iwashita, Y., Baba, R., Ogawara, K., & Kurazume, R. (2010). Person identification from spatio-temporal 3D gait. In Proceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems (pp. 30-35). [5600049] (Proceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems). https://doi.org/10.1109/EST.2010.19