Gait identification using invisible shadows: Robustness to appearance changes

Yumi Iwashita, Ryo Kurazume, Adrian Stoica

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

12 被引用数 (Scopus)

抄録

This paper presents a person identification technique that uses information from person's shadow, and is robust to appearance changes caused by variations of clothes and carried objects. The technique uses invisible lights and resulting shadows and has advantages from undetected sensing. The shadows on the ground obtained through illumination by multiple lights can be considered as silhouettes captured by multiple virtual cameras placed at light positions. Thus, a single camera, e.g. in the ceiling, is able to obtain multiple silhouettes, equivalent to a multi-camera system. If the person's appearance changes compared to the training cases in the database, e.g. by wearing different clothes or carrying a/another bag, then the identification performance gets worse. To deal with this problem, we introduce a new shadow-based identification technique robust to appearance changes. Firstly, we divide each shadow area into several parts, and estimate the discrimination capability for each part based on gait features between gallery datasets and probe dataset. Next, according to the estimated capability, we adaptively control the priorities of these parts in the person identification method. We constructed a new shadow database with a variety of clothes and bags, and carried out successful experiments to verify the effectiveness of the proposed technique.

本文言語英語
ホスト出版物のタイトルProceedings - 2014 International Conference on Emerging Security Technologies, EST 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ34-39
ページ数6
ISBN(電子版)9781479970070
DOI
出版ステータス出版済み - 12月 11 2014
イベント5th International Conference on Emerging Security Technologies, EST 2014 - Alcala de Henares, スペイン
継続期間: 9月 10 20149月 12 2014

出版物シリーズ

名前Proceedings - 2014 International Conference on Emerging Security Technologies, EST 2014

その他

その他5th International Conference on Emerging Security Technologies, EST 2014
国/地域スペイン
CityAlcala de Henares
Period9/10/149/12/14

!!!All Science Journal Classification (ASJC) codes

  • 人間とコンピュータの相互作用
  • 制御およびシステム工学
  • 人工知能
  • 安全性、リスク、信頼性、品質管理

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