Frontal gait recognition from incomplete rgb-d streams using gait cycle analysis

Wenyun Zou, Sei Ichiro Kamata

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Gait as a significant biometric feature in human identification is drawing a wide attention nowadays. In many real-life surveillance zones such as banks, airports and corridors, gait recognition is often restricted from the front view. There are situations where a complete gait cycle is not always available due to frame drop caused by devices and the limitation in space of such areas, while most of the existing methods require at least one complete gait cycle. A novel method is proposed to achieve a high recognition rate in such application scenarios, based on dividing a gait cycle into several phases using Constrained Fuzzy C-Means method and converging feature information of a stream into one feature descriptor using gait cycle analysis. Experimental results demonstrate the high performance of our method comparing to other existing ones.

本文言語English
ホスト出版物のタイトル2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ453-458
ページ数6
ISBN(電子版)9781538651612
DOI
出版ステータスPublished - 2019 2月 12
イベントJoint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018 - Kitakyushu, Japan
継続期間: 2018 6月 252018 6月 28

出版物シリーズ

名前2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018

Conference

ConferenceJoint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
国/地域Japan
CityKitakyushu
Period18/6/2518/6/28

ASJC Scopus subject areas

  • 信号処理
  • 制御と最適化
  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム

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