A review of vision-based traffic semantic understanding in ITSs

J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

Monocular visual traffic surveillance: A review

X Zhang, Y Feng, P Angeloudis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To facilitate the monitoring and management of modern transportation systems, monocular
visual traffic surveillance systems have been widely adopted for speed measurement …

I-24 MOTION: An instrument for freeway traffic science

D Gloudemans, Y Wang, J Ji, G Zachar… - … Research Part C …, 2023 - Elsevier
Abstract The Interstate-24 MObility Technology Interstate Observation Network (I-24
MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 …

A survey of vision-based traffic monitoring of road intersections

SRE Datondji, Y Dupuis, P Subirats… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

Boxcars: 3d boxes as cnn input for improved fine-grained vehicle recognition

J Sochor, A Herout, J Havel - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
We are dealing with the problem of fine-grained vehicle make&model recognition and
verification. Our contribution is showing that extracting additional data from the video stream …

Vehicle re-identification for automatic video traffic surveillance

D Zapletal, A Herout - Proceedings of the IEEE conference on …, 2016 - cv-foundation.org
This paper proposes an approach to the vehicle re-identification problem in a multiple
camera system. We focused on the re-identification itself assuming that the vehicle detection …

Boxcars: Improving fine-grained recognition of vehicles using 3-d bounding boxes in traffic surveillance

J Sochor, J Špaňhel, A Herout - IEEE transactions on intelligent …, 2018 - ieeexplore.ieee.org
In this paper, we focus on fine-grained recognition of vehicles mainly in traffic surveillance
applications. We propose an approach that is orthogonal to recent advancements in fine …

Traffic surveillance camera calibration by 3d model bounding box alignment for accurate vehicle speed measurement

J Sochor, R Juránek, A Herout - Computer Vision and Image …, 2017 - Elsevier
In this paper, we focus on fully automatic traffic surveillance camera calibration, which we
use for speed measurement of passing vehicles. We improve over a recent state-of-the-art …

A traffic surveillance system for obtaining comprehensive information of the passing vehicles based on instance segmentation

B Zhang, J Zhang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
The vehicle information acquired by current video-based traffic surveillance methods is
usually onefold. In this paper, a traffic surveillance system for obtaining comprehensive …

[HTML][HTML] Crop growth monitoring through Sentinel and Landsat data based NDVI time-series

BM Singh, C Komal, KA Victorovich - Компьютерная оптика, 2020 - cyberleninka.ru
Crop growth monitoring is an important phenomenon for agriculture classification, yield
estimation, agriculture field management, improve productivity, irrigation, fertilizer …