Vehicle detection in intelligent transport system under a hazy environment: a survey. Issue 1 (1st January 2020)

• Record Type: Journal Article
• Authors: Husain, Agha Asim; Maity, Tanmoy; Yadav, Ravindra Kumar
• Is Part Of: IET image processing. Volume 14:Issue 1(2020)
• Page Start: 1
• Page End: 10
• Publication Date: 2020-01-01
• Subjects: cameras -- traffic control -- video signal processing -- road traffic -- road vehicles -- traffic engineering computing; unfailing vehicle detection -- video processing systems -- traffic monitoring -- intelligent transport system -- intelligent transportation system -- traffic flow density -- total vehicles -- traffic images -- traffic control centres; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2018.5351
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : Developing an intelligent transportation system has attracted a lot of attention in the recent past. Moreover, with the growing number of vehicles on the road most nations are adopting an intelligent transport system (ITS) for handling issues like traffic flow density, queue length, the average speed of the traffic, and total vehicles passing through a point in a specific time interval and so on. ITS by capturing traffic images and videos through cameras, helps the traffic control centres in monitoring and managing the traffic. Efficient and unfailing vehicle detection is a crucial step for the ITS. This study reviews different techniques and applications used around the world for vehicle detection under various environmental conditions based on video processing systems. This study also discusses the types of cameras used for vehicle detections, and the classification of vehicles for traffic monitoring and controlling. This study finally highlights the problems encountered during surveillance under extreme weather conditions.