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  • 标题:Digital Video Based Vehicle Detection andCounting
  • 本地全文:下载
  • 作者:G.Sravya ; G.V.Satyanarayana ; A.Kiran Vinay
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:7
  • 页码:3176-3180
  • DOI:10.35629/5252-030730293031
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Traffic Analysis has been a problem that city planners have dealt with for years. Smarter ways are being developed to analyse traffic and streamline the process. Vehicle counting process provides appropriate information about traffic flow on the roadways. An acceptable technique to achieve this goal is using digital video processing methods on the roadway with the help of traffic cameras. The Vehicle counting system which we built is made up of two main components: a detector and counter. The detector identifies vehicle in a given frame of video and returns a list of bounding boxes around the Vehicle. The counter counts the vehicles whenthey leave the frame or makes use of a counting line drawn across a road. An implementation of proposed technique has been performed using open CV with python programming language used for traffic flow counting and using different library on digital video processing.
  • 关键词:Vehicle Detection;Computer Vision;Vehicle Tracking;Intelligent Transport System;Traffic Surveillance
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