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A Traffic State Detection Tool for Freeway Video Surveillance System
2013
Procedia - Social and Behavioral Sciences
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To leverage the existing surveillance camera infrastructure, a surveillance video based traffic state detection system is proposed. ...
It's difficult to extract traffic data using surveillance cameras because of the wider field, panning and zooming of the surveillance cameras. ...
Coifman (1998) developed a feature-based tracking system for detecting vehicles under challenging conditions. ...
doi:10.1016/j.sbspro.2013.08.274
fatcat:b4qe4s3n7jffvjxpxniat5xcwa
Development of a tracking-based system for automated traffic data collection for roundabouts
2017
Journal of Modern Transportation
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First, camera calibration is performed for roundabout traffic scenes with a novel circle-based calibration algorithm. ...
Second, the system uses enhanced Mixture of Gaussian algorithm with shaking removal for video segmentation, which can tolerate repeated camera displacements and background movements. ...
with MoG and shaking-removal in case of camera shaking Development of a tracking-based system for automated traffic data collection for roundabouts 15
Fig. 5 5 Tracking with vehicle occlusions
Fig ...
doi:10.1007/s40534-017-0124-z
fatcat:qxt7ddzmy5cfpgzoh2ernes3pi
A Survey on Visual Surveillance of Object Motion and Behaviors
2004
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. ...
In general, the processing framework of visual surveillance in dynamic scenes includes the following stages: modeling of environments, detection of motion, classification of moving objects, tracking, understanding ...
ACKNOWLEDGMENT The authors thank J. Lou, Q. Liu, H. Ning, M. Hu, D. Xie, and G. Xu from the NLPR for their valuable suggestions and assistance in preparing this paper. ...
doi:10.1109/tsmcc.2004.829274
fatcat:cozxn2ogtrew3pybyuxcrj2rhi
Motion Detection Algorithm for Unmanned Aerial Vehicle Nighttime Surveillance
2014
IEICE transactions on information and systems
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In consideration of the image noise captured by photoelectric cameras at nighttime, a robust motion detection algorithm based on sparse representation is proposed in this study. ...
A universal dictionary for arbitrary scenes is presented. Realistic and synthetic experiments demonstrate the robustness of the proposed approach. ...
Introduction The detection of moving objects on the ground is the primary task of advanced unmanned aerial vehicle (UAV) surveillance systems. ...
doi:10.1587/transinf.2014edl8129
fatcat:htvsrwk7xjbrdmruwhm73pwbcq
Developing a More Reliable Aerial Photography-Based Method for Acquiring Freeway Traffic Data
2022
Remote Sensing
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method based on optical features or a deep learning method; however, there are few papers that discuss how to solve the issue of video shaking, and existing vehicle data are rarely linked to lane lines ...
Due to the widespread use of unmanned aerial vehicles (UAVs) in remote sensing, there are fully developed techniques for extracting vehicle speed and trajectory data from aerial video, using either a traditional ...
Acknowledgments: The authors would like to thank the Communication Surveying and Design Institute for providing us with the road design data. ...
doi:10.3390/rs14092202
fatcat:qtcq4dgvkrfelm3ev6qgftmxcq
Real-time Road Congestion Detection Based on Image Texture Analysis
2016
Procedia Engineering
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Proposing a fast detection algorithm for urban road traffic congestion based on image processing technology. ...
Then, by using the difference of texture features between congestion image and unobstructed image, proposing vehicle density estimation based on texture analysis. ...
In this paper, a real-time road congestion detection algorithm based on texture analysis is proposed, which deals with image data from road surveillance systems and carries out the accurate identification ...
doi:10.1016/j.proeng.2016.01.250
fatcat:swle7kr5ane4lp7zwb5tf4pw6u
Urban road user detection and classification using 3D wire frame models
2010
IET Computer Vision
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This paper presents a detection and classification system for vehicles and pedestrians in urban traffic scenes. ...
We perform per frame vehicle detection and classification using 3D models on calibrated cameras. ...
Acknowledgements We are grateful to the Directorate of Traffic Operations at Transport for London for funding this project on Classification of Vehicles and Pedestrians for Urban Traffic Scenes. ...
doi:10.1049/iet-cvi.2008.0089
fatcat:3nckx3eqt5hiditz67rx4qslby
Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms
2010
IEEE transactions on intelligent transportation systems (Print)
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Human behavior-recognition algorithms can be used proactively for prevention of incidents or reactively for investigation after the fact. ...
This paper describes the current state-of-the-art image-processing methods for automatic-behavior-recognition techniques, with focus on the surveillance of human activities in the context of transit applications ...
ACKNOWLEDGMENT The authors would like to thank D. Kelsey (Hart) and S. Godavarthy and W. Cheng (University of South Florida) for their involvement and support in the completion of this paper. ...
doi:10.1109/tits.2009.2030963
fatcat:tiajxro6sbc23p2rdaam2pwyna
Object detection in surveillance video from dense trajectories
2015
2015 14th IAPR International Conference on Machine Vision Applications (MVA)
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Detecting objects such as humans or vehicles is a central problem in surveillance video. Myriad standard approaches exist for this problem. ...
In this paper we build on dense trajectories, a state-of-the-art approach for describing spatiotemporal patterns in video sequences. ...
He is the best supervisor Acknowledgements iv ...
doi:10.1109/mva.2015.7153248
dblp:conf/mva/ZhaiCLKM15
fatcat:bs2ncmz66nbxfl5mbeffavwuiy
Monocular target detection on transport infrastructures with dynamic and variable environments
2012
2012 15th International IEEE Conference on Intelligent Transportation Systems
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This paper describes a target detection system on transport infrastructures, based on monocular vision, for applications in the framework of Intelligent Transportation Systems (ITS). ...
After that, a background subtraction method, based on GMM and shadow detection algorithms, is used to segment the image. ...
ACKNOWLEDGEMENTS This work was financed by the Spanish Ministry of Economy and Competitiveness under Research Grant ONDA-FP TRA2011-27712-C02-02 ...
doi:10.1109/itsc.2012.6338690
dblp:conf/itsc/AlvarezLSL12
fatcat:jmjiqscsdrhtpmuuywkf3opo4u
Video-Based Vehicle Detection and Tracking Using Spatiotemporal Maps
2009
Transportation Research Record
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In this paper, a computer-vision based algorithm for vehicle detection and tracking is presented, implemented, and tested. ...
Surveillance video cameras have been increasingly deployed along roadways over the past decade. Automatic traffic data collection through surveillance video cameras is highly desirable. ...
Most systems also typically require extensive calibration before being used for traffic data collection. ...
doi:10.3141/2121-09
fatcat:7vk6bwaiczaxjk2cpfc23uqasy
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
[article]
2022
arXiv
pre-print
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Complex urban traffic environments have irregular lighting and occlusions, and surveillance cameras can be mounted at a variety of angles, gather dirt, shake in the wind, while the traffic conditions are ...
Some representative applications that suffer from these problems are traffic flow estimation, congestion detection, autonomous driving perception, vehicle interaction, and edge computing for practical ...
Strong wind can cause a camera to shake, resulting in motion blur in the whole image. ...
arXiv:2211.05120v1
fatcat:owqs7k65vfcophl2khmqxoqro4
Camera auto-calibration using zooming and zebra-crossing for traffic monitoring applications
2013
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
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This paper describes a camera auto-calibration system, based on monocular vision, for applications in the framework of Intelligent Transportation Systems (ITS). ...
Moreover, the algorithm is independent of the position of the camera, and it is able to work with variable pan-tilt-zoom cameras in fully self-adaptive mode. ...
Therefore auto-calibration seems to be the more suitable way to recover camera parameters for surveillance applications. ...
doi:10.1109/itsc.2013.6728298
dblp:conf/itsc/AlvarezLS13
fatcat:iiur6qk2bffrnnpr37gnwobh3q
Intelligent visual surveillance — A survey
2010
International Journal of Control, Automation and Systems
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The second part reviews widearea surveillance techniques based on the fusion of multiple visual sensors, camera calibration and cooperative camera systems. ...
This article consists of two parts: The first part surveys image enhancement, moving object detection and tracking, and motion behavior understanding. ...
Thus, a self-calibration algorithm for a camera is important for wide area surveillance systems. ...
doi:10.1007/s12555-010-0501-4
fatcat:pdv6jpfqfnfiraqe4ngxzvywvu
Intelligent Video Event Detection and Behavior Analysis Research
2014
Sensors & Transducers
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This survey summarizes the state-of-the-art of performance evaluation for intelligent video algorithms, especially focuses on the performance evaluation of motion detection and object tracking. ...
It also highlights the future direction for performance evaluation of intelligent video technology. ...
There are two technology in the targeted stages, one is tracking based on feature pattern analysis, for example, an RGB image template matching, because the camera is gradually narrowed, while the position ...
doaj:ad151b48c21f4d4380c2e7f7e3356059
fatcat:rej7jnx4zjapbim3p2ryx4f2fe
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