Mar 27, 2022 · This paper show a method using the system proposed for Santos et al. [10] applied to a more complex problem of counting vehicles by axles according to a real ...
Based on the results obtained in two hours of real videos used in traffic counting surveys, we obtained a positive predictive value above 89.85% and recall ...
This paper proposes a system that uses YOLOv3 for object detection and the Deep SORT for multiple objects tracking algorithms. From the results over real-world ...
Missing: Axes | Show results with:Axes
This algorithm achieved a satisfying accuracy, but it still needs more time improvement because it depends on the feature point purification to exclude the ...
This paper proposes a system that uses YOLOv3 for object detection and the Deep SORT for multiple objects tracking algorithms, and shows that this proposal ...
Missing: Axes | Show results with:Axes
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Mar 27, 2022 · Any future updates will be listed below. Counting Vehicle by Axes with High-Precision in Brazilian Roads with Deep Learning Methods. Crossref ...
Feb 10, 2024 · The proposed method aims to examine a sequence of frames to determine the vehicle's axle count. The case study scenario consists of a camera ...
Dec 2, 2019 · In this paper, we present an approach to automatically detect, classify and count the unique classes of trucks and trailers that are found on ...
Maciel, Counting vehicle by axes with high-precision in brazilian roads with deep learning methods, in International Conference on Intelligent Systems ...