Due to the increasing number of vehicles on the roads, a traffic analysis system is of peak importance. Various computer vision techniques and video analytics are used in the traffic analysis system to get useful information. This acquired information can be later used to make crucial judgements in real-time environment. This paper presents a comprehensive literature review in traffic analysis especially in the domains like moving vehicle detection, object identification and traffic volume estimation. The tabulated data presents the different algorithms along with their achieved performances. The paper also provides the limitations and the future scope of the discussed approaches.
CITATION STYLE
Gour, A., Gangodkar, D., & Tripathi, V. (2022). A Review of Computer Vision Techniques for the Analysis of Vehicles. In AIP Conference Proceedings (Vol. 2481). American Institute of Physics Inc. https://doi.org/10.1063/5.0119992
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