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文章基本信息

  • 标题:Object Detection and Tracking Techniques: A Review
  • 本地全文:下载
  • 作者:Akanksha Sharma ; Dr. Deepak Dembla ; Shekhar
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:6
  • 页码:11933
  • DOI:10.15680/IJIRCCE.2017.0506149
  • 出版社:S&S Publications
  • 摘要:Object detection is challenging problem in vision based computer applications. It is used to identifywhether object is present in the video or not. It has become a critical part in many applications like image processing,artificial intelligence, security surveillance, detection of vehicles in traffic and many more areas. Three phases of dataprocessing in video surveillance are: object recognition, object extraction and object tracking. In this review paper thevarious techniques for object detection and tracking have been analyzed and compared with respect to each other.
  • 关键词:object detection; object tracking
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