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  • 标题:"Moving Object Tracking of Vehicle Detection": A Concise Review
  • 本地全文:下载
  • 作者:A. P. Shukla ; Mona Saini
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:3
  • 页码:169-176
  • DOI:10.14257/ijsip.2015.8.3.15
  • 出版社:SERSC
  • 摘要:Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the va rious techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on vision- based vehicle detection using sensors. Detecting the objects in the video and tracking their motion to identify their characteristics has been emerging as a demanding research area in the domain of Image Processing and Computer Vision. The traffic image analysis comprises of three parts: (1) Traffic Analysis (2) Motion Vehicle Detection and Segmentation Approaches and (3) Vehicle Tracking Approaches. In this survey, we have classified these methods into various groups, and these groups are providing a detailed description of various representation methods and find out their positive and negative aspects.
  • 关键词:Traffic surveillance; Vehicle detection; Traffic analysis; Blob tracking; ; Segmentation
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