Vehicle detection in intelligent transportation systems and its applications under varying environments: A review
Z Yang, LSC Pun-Cheng - Image and Vision Computing, 2018 - Elsevier
Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …
Transportation Systems. With the development of computer vision techniques and …
Tracking via robust multi-task multi-view joint sparse representation
Z Hong, X Mei, D Prokhorov… - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
Combining multiple observation views has proven beneficial for tracking. In this paper, we
cast tracking as a novel multi-task multi-view sparse learning problem and exploit the cues …
cast tracking as a novel multi-task multi-view sparse learning problem and exploit the cues …
Estimating traffic flow in large road networks based on multi-source traffic data
Traffic flow data collected by traffic sensing devices is crucially important for transportation
planning and transportation management. However, traffic sensing devices are typically …
planning and transportation management. However, traffic sensing devices are typically …
Distributed and collaborative real-time vehicle detection and classification over the video streams
Traffic surveillance cameras are widely used in traffic management and information systems.
Processing streaming media in real time is resource and time-consuming processes and …
Processing streaming media in real time is resource and time-consuming processes and …
Towards improving quality of video-based vehicle counting method for traffic flow estimation
The traffic flow is usually estimated to evaluate the traffic state in traffic management, and
vehicle counting is a key method for estimating traffic flow. With wide deployment of cameras …
vehicle counting is a key method for estimating traffic flow. With wide deployment of cameras …
Deploying deep learning to estimate the abundance of marine debris from video footage
The insatiable desire of society for plastic goods has led to synthetic materials becoming
omnipresent in the marine environment. In attempting to address the problem of plastic …
omnipresent in the marine environment. In attempting to address the problem of plastic …
[PDF][PDF] A video based vehicle detection, counting and classification system
S Memon, S Bhatti, LA Thebo, MMB Talpur… - International Journal of …, 2018 - academia.edu
Traffic Analysis has been a problem that city planners have dealt with for years. Smarter
ways are being developed to analyze traffic and streamline the process. Analysis of traffic …
ways are being developed to analyze traffic and streamline the process. Analysis of traffic …
Performance evaluation of support vector machine and convolutional neural network algorithms in real-time vehicle type and color classification
In order for traffic management and information systems to provide proper traffic flow, it is
necessary to obtain information about traffic with the help of various sensors. In this context …
necessary to obtain information about traffic with the help of various sensors. In this context …
Inferring intersection traffic patterns with sparse video surveillance information: An st-gan method
Traffic patterns of urban road intersections are important in traffic monitoring and accident
prediction, thus play crucial roles in urban traffic management. Although real-time traffic …
prediction, thus play crucial roles in urban traffic management. Although real-time traffic …
Road traffic conditions classification based on multilevel filtering of image content using convolutional neural networks
T Pamula - IEEE Intelligent Transportation Systems Magazine, 2018 - ieeexplore.ieee.org
Classification of traffic conditions is a vital task for determining traffic control strategies in ITS.
Systematic assessment of the volume of traffic enables appropriate changes of control …
Systematic assessment of the volume of traffic enables appropriate changes of control …