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A real-time computer vision system for vehicle tracking and traffic surveillance

Benjamin Coifman, David Beymer, Philip McLauchlan, Jitendra Malik
1998 Transportation Research Part C: Emerging Technologies  
We are developing a feature-based tracking system for detecting vehicles under these challenging conditions.  ...  This paper describes the issues associated with feature based tracking, presents the real-time implementation of a prototype system, and the performance of the system on a large data set.  ...  Then we focus on feature based tracking as a means to improve detector performance in congestion and difficult lighting conditions.  ... 
doi:10.1016/s0968-090x(98)00019-9 fatcat:xhngsrahfvgubjmbkn6weri2vi

A Traffic State Detection Tool for Freeway Video Surveillance System

Xiying Li, Yongye She, Donghua Luo, Zhi Yu
2013 Procedia - Social and Behavioral Sciences  
To leverage the existing surveillance camera infrastructure, a surveillance video based traffic state detection system is proposed.  ...  The proposed system can estimate traffic flow speed and road space occupancy, and recognize three typical traffic states (congested, slow, and smooth).  ...  Coifman (1998) developed a feature-based tracking system for detecting vehicles under challenging conditions.  ... 
doi:10.1016/j.sbspro.2013.08.274 fatcat:b4qe4s3n7jffvjxpxniat5xcwa

Reliable and Rapid Traffic Congestion Detection Approach Based on Deep Residual Learning and Motion Trajectories

Mohamed A. Abdelwahab, Mohamed Abdel-Nasser, Maiya Hori
2020 IEEE Access  
Traffic congestion detection systems help manage traffic in crowded cities by analyzing videos of vehicles. Existing systems largely depend on texture and motion features.  ...  To overcome these issues, this paper proposes a rapid and reliable traffic congestion detection method based on the modeling of video dynamics using deep residual learning and motion trajectories.  ...  For example, in the case of motion-based traffic congestion classification methods, stopped vehicles may not be tracked, meaning a heavy congestion traffic scene may be misclassified as an empty road.  ... 
doi:10.1109/access.2020.3028395 fatcat:vmd7nmuuvvhnrh5bihk4s6l53q

VEHICLE DETECTION BY USING REAR PARTS AND TRACKING SYSTEM

Yogini Ashokrao Kanhegaonkar .
2015 International Journal of Research in Engineering and Technology  
In urban traffic video monitoring systems, traffic congestion is a common scene that causes vehicle occlusion and is a challenge for current vehicle detection methods.In practical traffic scenarios, occlusion  ...  Finally, the vehicles' trajectories are estimated using a Kalman filter and a tracking-based detection technique is realized.  ...  The interface has a button, named as -Browse video‖ to browse and load input video, and an execution button, named -Track vehicle‖, to track vehicles in the loaded video.  ... 
doi:10.15623/ijret.2015.0408029 fatcat:gmkg7nbo5zg3tclscs7aicvbxy

Classifying Vehicle Types from Video Streams for Traffic Flow Analysis Systems

Imran B. Mu'azam, Nor Fatihah Ismail, Salama A. Mostafa, Zirawani Baharum, Taufik Gusman, Dewi Nasien
2022 JOIV: International Journal on Informatics Visualization  
This paper proposes a vehicle types classification modelfrom video streams for improving Traffic Flow Analysis (TFA) systems.  ...  A Video Content-based Vehicles Classification (VC-VC) model is used to support optimization for traffic signal control via online identification of vehicle types.The VC-VC model extends several methods  ...  This paper is supported by the Center of Intelligent and Autonomous Systems (CIAS), Universiti Tun Hussein Onn Malaysia (UTHM).  ... 
doi:10.30630/joiv.6.1.739 fatcat:zjqx25jcqnahrkygskvgkkkrvm

Survey on Various Techniques for Over-Speed Detection of Vehicles

Kratika Sharma
2021 International Journal for Research in Applied Science and Engineering Technology  
A model is built for detecting vehicles, correlation trackers are used for tracking vehicles in traffic videos based on detect then track paradigm coupled with data driven speed estimation approach.  ...  In this paper, we detect the vehicles and track them in traffic videos and estimate their speed. We follow 'detect then track' approach.  ...  CONCLUSION In this project, we introduced a model for detecting vehicles in traffic videos, tracking is done based on a detect-then-track paradigm.  ... 
doi:10.22214/ijraset.2021.34578 fatcat:ob53brpqijgh5cidlpwcahvrma

Real-Time Traffic Analysis using Deep Learning Techniques and UAV based Video

Huaizhong Zhang, Mark Liptrott, Nik Bessis, Jianquan Cheng
2019 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
The road traffic video is collected by using a position-fixed UAV. The most recent deep learning methods are applied to identify the moving objects in videos.  ...  In urban environments there are daily issues of traffic congestion which city authorities need to address.  ...  Method The proposed method is a developed traffic surveillance and congestion analysis framework that consists of a UAV based video collection system, a vehicle tracking system and a traffic analysis system  ... 
doi:10.1109/avss.2019.8909879 dblp:conf/avss/ZhangLBC19 fatcat:swt7z3svtbdszj5t5g45h6vjfa

Artificial Intelligence Enabled Traffic Monitoring System [article]

Vishal Mandal, Abdul Rashid Mussah, Peng Jin, Yaw Adu-Gyamfi
2020 arXiv   pre-print
Taking advantage of a large database of annotated video surveillance data, deep learning-based models are trained to detect queues, track stationary vehicles, and tabulate vehicle counts.  ...  Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts.  ...  Similarly, after the object detector spots any vehicle's position on a traffic scene, the tracker is brought in to track the state of vehicles from a sequence of traffic video frames.  ... 
arXiv:2010.01217v1 fatcat:7t6ldyzgv5exjm4neyo4f2fr5u

Artificial Intelligence-Enabled Traffic Monitoring System

Vishal Mandal, Abdul Rashid Mussah, Peng Jin, Yaw Adu-Gyamfi
2020 Sustainability  
Taking advantage of a large database of annotated video surveillance data, deep learning-based models are trained to detect queues, track stationary vehicles, and tabulate vehicle counts.  ...  Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts.  ...  a sequence of traffic video frames.  ... 
doi:10.3390/su12219177 fatcat:ojozrrgecjfgrorwr4try3zpye

Vehicle Detection, Tracking and Counting for Traffic Surveillance using Digital Image Processing

Roopa Hittanagi
2020 International Journal for Research in Applied Science and Engineering Technology  
System extracts the features of different vehicles and gives a vehicle counter and classifier based on combination of several different video-image processing techniques including background Subtraction  ...  Now a day most of the people involving in sensor use to detect the vehicles. Even though these systems are highly effective and matured and not very budget friendly.  ...  In this vehicles could be detected from use of two features such as gradient and range features. Virtual line based sensors were set on road lanes for detection.  ... 
doi:10.22214/ijraset.2020.31567 fatcat:kwkdgl2r3ne3bhlecxue6elrc4

Glyph-based video visualization on Google Map for surveillance in smart cities

Fozia Mehboob, Muhammad Abbas, Saad Rehman, Shoab A. Khan, Richard Jiang, Ahmed Bouridane
2017 EURASIP Journal on Image and Video Processing  
In this paper, a state of the art algorithm has been proposed for 3D conversion from traffic video content to Google Map.  ...  Time-stamped glyph-based visualization is used effectively in outdoor surveillance videos and can be used for event-aware detection.  ...  As congestion of traffic takes place, mean speed of vehicles decreases. Due to the presence of traffic congestion, users are constrained to drive in limited or slow speed.  ... 
doi:10.1186/s13640-017-0175-4 fatcat:bw3qxna4i5dpbbjqgs7f7oqe3q

Classification and Counting of Vehicles for Traffic Surveillance

Pushpha Saai. S
2018 International Journal for Research in Applied Science and Engineering Technology  
Traffic surveillance is a system used to observe the traffic congestion of a specific area.  ...  Further the detected vehicles present in the video can be classified into car, bike, truck etc. based on the SVM classifiers.  ...  The traffic congestion can be effectively estimated by the surveillance of a specific area.  ... 
doi:10.22214/ijraset.2018.4339 fatcat:bgxsovnppnhhznwz3ptx37j44e

Real-Time Video Surveillance System for Traffic Management with Background Subtraction Using Codebook Model and Occlusion Handling

Zakaria Moutakki, Imad Mohamed Ouloul, Karim Afdel, Abdellah Amghar
2017 Transport and Telecommunication  
The scope of this paper is a video surveillance system constituted of three principal modules, segmentation module, vehicle classification and vehicle counting.  ...  To classify vehicles in their type, our system uses the histograms of oriented gradient followed by support vector machine. Counting and tracking vehicles will be the last task to be performed.  ...  Conclusion Recent video surveillance systems of road traffic are subject to certain limitations due to vehicle occlusion, traffic congestion, and illumination conditions.  ... 
doi:10.1515/ttj-2017-0027 fatcat:t5xh5xx24fbelmunlspsv4td4a

A low-cost strong shadow-based segmentation approach for vehicle tracking in congested traffic scenes

Ehsan Adeli Mosabbeb, Maryam Sadeghi, Mahmood Fathy, Maliheh Bahekmat
2007 2007 International Conference on Machine Vision  
In this paper, a vehicle tracking algorithm is proposed that uses a new approach to deal with occlusion.  ...  It was constructed on the basis of the strong shadow under the vehicle in real-world traffic scenes.  ...  In [7] , a single vehicle is successfully tracked through a partial occlusion, but its applicability to congested traffic scenes has not been demonstrated.  ... 
doi:10.1109/icmv.2007.4469289 fatcat:q2sdxrp4rbg47bo664zioo7yga

Intelligent traffic management through MPEG-7 vehicle flow surveillance

C. Anagnostopoulos, T. Alexandropoulos, V. Loumos, E. Kayafas
2006 IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)  
AbstractRecent development in the aspects of low-level image processing for feature extraction, as well as in the standardization of description schemes for video description, provide means for the development  ...  ITS may support a wide range of abilities, including vehicle identification and reidentification, event detection and optimum resource management.  ...  Event detection cameras are based on the MPEG7 annotation scheme. Their image sequences are used to track vehicles on a video sequence and produce metadata related to the traffic flow.  ... 
doi:10.1109/jva.2006.30 dblp:conf/jva/AnagnostopoulosALK06 fatcat:3uer6ralzjbnlke54sctk653jy
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