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文章基本信息

  • 标题:A Study of Video Object Tracking based on Automatic Background Segmentation and updating using Different Technique
  • 作者:Pushpender Prasad Chaturvedi ; Amit Singh Rajput ; Aabha Jain
  • 期刊名称:International Journal of Advanced Computer Research
  • 印刷版ISSN:2249-7277
  • 电子版ISSN:2277-7970
  • 出版年度:2013
  • 卷号:3
  • 期号:10
  • 页码:61-66
  • 出版社:Association of Computer Communication Education for National Triumph (ACCENT)
  • 摘要:Video object tracking play an important role in security surveillance in current scenario. The explosion of successful digital device, the ease of use of high quality and economical video cameras, and the increasing need for computerized video analysis has generated a great deal of interest in video tracking methods. There are three techniques for video analysis: exposure of interesting moving target, tracking of such target from frame to frame, and analysis of target tracks to identify their activities. The successful video object tracking system faced a problem of false detection of moving video object. The false video object detection arises due to drastic change of background of moving video. For the maintenance of background updating various authors proposed a method for automatic background updating. In this paper we study of different video object tracking method using background updating factor.
  • 关键词:Video Tracking; Noise Filter; Segmentation.
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