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  • 标题:Human Action Recognition Using Accumulated Moving Information
  • 本地全文:下载
  • 作者:Nae-Joung Kwak ; Teuk-Seob Song
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2015
  • 卷号:10
  • 期号:10
  • 页码:211-222
  • DOI:10.14257/ijmue.2015.10.10.22
  • 出版社:SERSC
  • 摘要:This paper proposes a human action recognition algorithm which can be efficiently applied to a real-time intelligent surveillance system. This method models the background, obtains the difference image between input image and the modeled background image, extracts the silhouette of human object from input image, and recognizes human action by using coordinates of object, directions of that and accumulated moving regions of that. The human actions recognized in this study amount to a total of 8 type of actions, which include walking, raising an arm (left, right), raising a leg (left, right), sitting and crouching. The proposed method has been experimented for 8 different movements using 4 people using video input of a webcam and it has shown good results in terms of recognizing human action.
  • 关键词:IoT action recognition; moving information; IoT auto detection; IoT human ; action
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