Hierarchical human action recognition around sleeping using obscured posture information

Yuta Kudo, Takehiko Sashida, Yoshimitsu Aoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper presents a new approach for human action recognition around sleeping with the human body parts locations and the positional relationship between human and sleeping environment. Body parts are estimated from the depth image obtained by a time-of-flight (TOF) sensor using oriented 3D normal vector. Issues in action recognition of sleeping situation are the demand of availability in darkness, and hiding of the human body by duvets. Therefore, the extraction of image features is difficult since color and edge features are obscured by covers. Thus, first in our method, positions of four parts of the body (head, torso, thigh, and lower leg) are estimated by using the shape model of bodily surface constructed by oriented 3D normal vector. This shape model can represent the surface shape of rough body, and is effective in robust posture estimation of the body hidden with duvets. Then, action descriptor is extracted from the position of each body part. The descriptor includes temporal variation of each part of the body and spatial vector of position of the parts and the bed. Furthermore, this paper proposes hierarchical action classes and classifiers to improve the indistinct action classification. Classifiers are composed of two layers, and recognize human action by using the action descriptor. First layer focuses on spatial descriptor and classifies action roughly. Second layer focuses on temporal descriptor and classifies action finely. This approach achieves a robust recognition of obscured human by using the posture information and the hierarchical action recognition.

本文言語English
ホスト出版物のタイトルTwelfth International Conference on Quality Control by Artificial Vision
編集者Fabrice Meriaudeau, Olivier Aubreton
出版社SPIE
ISBN(電子版)9781628416992
DOI
出版ステータスPublished - 2015
イベント12th International Conference on Quality Control by Artificial Vision - Le Creusot, France
継続期間: 2015 6 32015 6 5

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
9534
ISSN(印刷版)0277-786X
ISSN(電子版)1996-756X

Other

Other12th International Conference on Quality Control by Artificial Vision
国/地域France
CityLe Creusot
Period15/6/315/6/5

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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