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  • 标题:New Approach of Tracking Objects in Large Space: A Survey
  • 本地全文:下载
  • 作者:Vaishnavi D. Sontakke ; Prof. Shridevi S. Vasekar
  • 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:4
  • 页码:9242
  • 出版社:S&S Publications
  • 摘要:Object tracking is an imperative assignment in the field of the computer vision. In which the camerafollowing have turned into a common need in today’s society. The modest camcorder i.e. inexpensive video camera andthe excellent focal point create an incredible enthusiasm for the object tracking field. By and large, it is difficult tofollow or track human conduct in a domain with a huge view. The shape and the dimensions of the targeted object maychange in each frame. Partial and full impediment i.e. Occlusion, Presence of bustle and darken in video, Luminanceand power changes, Object's sudden development these are the fundamental issues related in tracking The Occlusion isthe parameter which influences the tracking. There are different methods which are utilized to track the human motioni.e. developments in the expansive space. The papers give a brief review of the several techniques of detection ofobject. It also describes the comparatively study of the various tracking method.
  • 关键词:object detection; Tracking; Multiple Targets; Large view; Occlusion.
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