Monocular visual traffic surveillance: A review
To facilitate the monitoring and management of modern transportation systems, monocular
visual traffic surveillance systems have been widely adopted for speed measurement …
visual traffic surveillance systems have been widely adopted for speed measurement …
A novel spatio-temporal synchronization method of roadside asynchronous MMW radar-camera for sensor fusion
Y Du, B Qin, C Zhao, Y Zhu, J Cao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Roadside sensors, such as camera and millimeter-wave (MMW) radar, provide traffic
information beyond the visual range of intelligent vehicles in cooperative vehicle …
information beyond the visual range of intelligent vehicles in cooperative vehicle …
Trends in vehicle re-identification past, present, and future: A comprehensive review
Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …
I-24 MOTION: An instrument for freeway traffic science
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 …
MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 …
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 …
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
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 …
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
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 …
use for speed measurement of passing vehicles. We improve over a recent state-of-the-art …
[HTML][HTML] 3d-net: Monocular 3d object recognition for traffic monitoring
Abstract Machine Learning has played a major role in various applications including
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …
Focal length and object pose estimation via render and compare
We introduce FocalPose, a neural render-and-compare method for jointly estimating the
camera-object 6D pose and camera focal length given a single RGB input image depicting a …
camera-object 6D pose and camera focal length given a single RGB input image depicting a …
The interstate-24 3d dataset: a new benchmark for 3d multi-camera vehicle tracking
This work presents a novel video dataset recorded from overlapping highway traffic cameras
along an urban interstate, enabling multi-camera 3D object tracking in a traffic monitoring …
along an urban interstate, enabling multi-camera 3D object tracking in a traffic monitoring …