Vehicle Detection and Classification: A Review
2020; Springer Nature; Linguagem: Inglês
10.1007/978-3-030-49339-4_6
ISSN2194-5357
AutoresV. Keerthi Kiran, Priyadarsan Parida, Sonali Dash,
Tópico(s)Advanced Neural Network Applications
ResumoSmart traffic and information systems require the collection of traffic data from respective sensors for regulation of traffic. In this regard, surveillance cameras have been installed in monitoring and control of traffic in the last few years. Several studies are carried out in video surveillance technologies using image processing techniques for traffic management. Video processing of a traffic data obtained through surveillance cameras is an instance of applications for advance cautioning or data extraction for real-time analysis of vehicles. This paper presents a detailed review of vehicle detection and classification techniques and also discusses about different approaches detecting the vehicles in bad weather conditions. It also discusses about the datasets used for evaluating the proposed techniques in various studies.
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