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文章基本信息

  • 标题:Survey on Human Activity Recognition Techniques For Video Surveillance
  • 本地全文:下载
  • 作者:Utkal Sinha ; Himanish Shekhar Das ; Mayank Shekhar
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2015
  • 卷号:6
  • 期号:3
  • 页码:9-12
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents’ actions and the environmental conditions. Vision-based activity recognition is a very important and challenging problem to track and understand the behavior of agents through videos taken by various cameras. The primary technique employed is computer vision.Vision-based activity recognition has found many applications such as human-computer interaction, user interface design, robot learning, and surveillance, among others. This report describes the literature served for developing human activity recognition algorithm and a novel approach to it.
  • 关键词:Computer Vision;Human Computer Interaction;Human Activity Recognition;Visual Surveillance.
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