Abstract: Traffic surveillance may monitor and collect data about the flow of traffic on road networks, which is necessary for a number of applications in intelligent transportation systems (ITSs). One of the key issues with traffic monitoring is the accurate and quick detection and counting of vehicles.
Vehicle detection and monitoring have several applications. In order to enhance the infrastructure for everyone's comfort and convenience, public and private organizations may try to comprehend the traffic that passes through a particular area. Road widening, the placement of traffic signals, and the installation of parking spaces are a few examples of projects where traffic study is crucial.
In the past, manual tracking and identification were employed. Somebody will be posted there to count the vehicles and record their classifications. Sensors have been employed recently, although they only address the counting issue. Vehicle type cannot be determined via sensors
Keywords: Vehicle Detection, Deep Learning, DeepSort, YOLO, Video Processing.
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DOI:
10.17148/IJARCCE.2022.11757
