Vehicle Detection and Classification: A Review

2020; Springer Nature; Linguagem: Inglês

10.1007/978-3-030-49339-4_6

ISSN

2194-5357

Autores

V. Keerthi Kiran, Priyadarsan Parida, Sonali Dash,

Tópico(s)

Advanced Neural Network Applications

Resumo

Smart 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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