access icon free Vehicle detection in intelligent transport system under a hazy environment: a survey

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.

Inspec keywords: video signal processing; traffic engineering computing; cameras; road traffic; traffic control; road vehicles

Other keywords: intelligent transportation system; unfailing vehicle detection; total vehicles; traffic images; video processing systems; traffic monitoring; intelligent transport system; traffic flow density; traffic control centres

Subjects: Optical, image and video signal processing; Traffic engineering computing; Computer vision and image processing techniques; Video signal processing

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