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  • 标题:A Review of Computer Vision System for the Vehicle Identification and Classification from Online and Offline Videos
  • 本地全文:下载
  • 作者:Baljit Singh Mokha ; Satish Kumar
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2015
  • 卷号:6
  • 期号:5
  • 页码:63
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The traffic on the roads is increasing day by day. There is dire need of developing an automation systemthat can effectively manage and control the traffic on roads. The traffic data of multiple vehicle types onroads is also important for taking various decisions related to traffic. A video based traffic data collectionsystem for multiple vehicle types is helpful for monitoring vehicles under homogenous and heterogeneoustraffic conditions. In this paper, we have studied different methods for the identification, classificationand counting vehicles from online and offline videos in India as well as other countries. The paper alsodiscusses the various applications of video based automatic traffic control system. The various challengesfaced by the researchers for developing such systems are also discussed.
  • 关键词:Vehicle Identification; Vehicle Classification; Vehicle Counting; Traffic Control.
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