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  • 标题:Detection and Tracking of People’s group
  • 本地全文:下载
  • 作者:Jorge Paullada ; Ana Herrera ; Hugo Jiménez
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:10
  • 页码:3590-3593
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:This paper presents a method for monitoring human activities in real time on video sequences. The monitoring process consists in detecting people in video sequences by motion detection using a background model, where each pixel is modeled as a mixture of Gaussian. The detection of people is performed by skeletonization of the movement objects. The segmentation of groups of people is obtained by analyzing the minimum vertical histogram of the moving objects. The results show that the scheme is suitable to detect activity in specific scenarios, even when lighting changes have on the scene or the video quality is low it acquired.
  • 关键词:Detection; segmentation; background; tracking
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