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Ghost Vehicle and Shadow Removal Approach for Traffic Surveillance and Monitoring at Various Intersections Using Computer Vision
2015
International Journal of Multimedia and Ubiquitous Engineering
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This paper proposes computer vision based real time vehicle detection, tracking and classification at urban intersections. ...
As traffic surveillance technology continues to grow worldwide vehicle detection, counting, tracking and classification are gaining importance. ...
Special thanks to Director VNIT Nagpur for providing institutional facilities and needed administrative and authoritative support during the work at VNIT. ...
doi:10.14257/ijmue.2015.10.3.34
fatcat:7muaaatvrne5bm2t6w6hhc7mhm
A Multitask Cascading CNN with MultiScale Infrared Optical Flow Feature Fusion-Based Abnormal Crowd Behavior Monitoring UAV
2020
Sensors
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Due to their advantages of high mobility and easy deployment, unmanned aerial vehicles (UAV) have become a flexible monitoring platform in recent years. ...
Finally, considering two typical abnormal crowd behaviors of crowd aggregating and crowd escaping, the experimental results show that the monitoring UAV system can detect abnormal crowd behaviors in public ...
Then the crowd walks around at random. The average movement speed of the crowd tends to be stable, so the system does not alarm. ...
doi:10.3390/s20195550
pmid:32998316
pmcid:PMC7582990
fatcat:rml7dpe4l5bffbrv4b7ixmk5lm
Multi-perspective Video Analysis of Persons and Vehicles for Enhanced Situational Awareness
[chapter]
2006
Lecture Notes in Computer Science
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Our framework can be applied to broad range of situational awareness for emergency response, disaster prevention, human interactions in structured environments, and crowd movement analysis in wide-view ...
Crowd density is estimated from the footage in homography plane. Experimental data show promising results. ...
In wide-view open area, counting individuals may not be possible or robust especially when the site is crowded. ...
doi:10.1007/11760146_39
fatcat:55mlpmi4gfhn3ji37mhptq2tqa
Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms
2010
IEEE transactions on intelligent transportation systems (Print)
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., vehicle vandalism), and person-facility/ location interactions (e.g., object left behind and trespassing). ...
For example, loitering, people (crowd) counting, crowd flow (behavior) analysis, and person talking on a cell phone. 2) Multiple-person interactions (see Fig. 3 standing, waiting at checkpoint, evading ...
Hence, using multiple cameras may further complicate crowd counting. ...
doi:10.1109/tits.2009.2030963
fatcat:tiajxro6sbc23p2rdaam2pwyna
The 4th AI City Challenge
[article]
2020
arXiv
pre-print
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Track 1 addressed video-based automatic vehicle counting, where the evaluation is conducted on both algorithmic effectiveness and computational efficiency. ...
Track 3 addressed city-scale multi-target multi-camera vehicle tracking. Track 4 addressed traffic anomaly detection. ...
To determine movement-specific vehicle counting, teams used both ROI-based and data-driven based MOI classifica-tion. ...
arXiv:2004.14619v1
fatcat:en54aiitirf4pd2g5djv255kli
A Multilayer Motion Direction Based Model for Tracking Vehicles at Intersections
2020
International Journal of Engineering
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Congestion, occlusion and undetermined motion flows are the nominated challenging issues of vehicle tracking at intersections. ...
In addition, normal traffic flow may change at intersections due to accidents. ...
They used Kalman filter for predicting movements. Their proposed method could not track motionless vehicles and in crowded scenes. Nateghinia et al. ...
doi:10.5829/ije.2020.33.10a.12
fatcat:7t7x2tm2prhgrfxmu6twdzfbla
Deep Learning Based Surveillance System for Open Critical Areas
2018
Inventions
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We report quantitative results for object counting, detection, parking analysis, and anomaly detection. ...
When we have an intersection, we also understand the direction in which the intersection occurs by looking at the orientations of the triplets. ...
and wrong direction movement). ...
doi:10.3390/inventions3040069
fatcat:dzavulkvzfcktbyofqszmgkxfq
Traffic flow estimation with data from a video surveillance camera
2019
Journal of Big Data
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Our system is capable of counting and analyzing vehicles movement direction with a maximum relative error that is lower than 10%. ...
Methodology This paper aims to develop a system for traffic flow estimation, i.e. for counting and classifying vehicles by their movement directions. ...
doi:10.1186/s40537-019-0234-z
fatcat:j6dhjvzbe5c5ffdv7f5krivb4u
A real-time system for vehicle detection with shadow removal and vehicle classification based on vehicle features at urban roads
2020
International Journal of Power Electronics and Drive Systems (IJPEDS)
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The counting results can be used to estimate the traffic density at intersections, and adjust the timing of traffic light for the next light cycle. ...
The traffic flow in urban areas is more complicated than the traffic flow in highway, due to the slow movement of vehicles and crowded traffic flows in urban areas. ...
The counting results can be used to estimate the traffic density at intersections, and adjust the timing of traffic light for the next light cycle. ...
doi:10.11591/ijpeds.v11.i4.pp2091-2098
fatcat:gxrwuqy2frgnzpxnq3auvguhse
Analysis of a Transportation System With Correlated Network Intersections: A Case Study for a Central Urban City With High Seasonal Fluctuation Trends
2017
IEEE Access
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vehicle-pedestrian movement conflicts. ...
The presented model analysis first examines the influences exerted by network-correlations at intersection-points, and second, presents case-study evacuation scenarios examined under varying circumstances ...
ACKNOWLEDGEMENTS The authors would like to thank the Deanship of Student Affairs at Taibah University for supporting the students to conduct the data collection and the Custodian of the VOLUME 5, 2017 ...
doi:10.1109/access.2017.2695159
fatcat:qh5mfnnnyrg3hhpoqhyek325je
Pedestrian Traffic Operations in Urban Networks
2016
Transportation Research Procedia
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However, it does not comprehensively address pedestrian operations and does not consider some recent important findings such as pedestrian-vehicle interactions at crosswalks, pedestrian signal compliance ...
The following topics are discussed: pedestrian movement models, pedestrian crossing behavior, pedestrianvehicle interactions. ...
Signalized Intersections Pedestrian crossing behavior and vehicle interactions at signalized intersections depend on the traffic control features and intersection signal plans. ...
doi:10.1016/j.trpro.2016.06.012
fatcat:lylv3dhg7ffkvmwtceexvgt6ky
Vehicle detection and tracking in relatively crowded conditions
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
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Aiming at vehicle detection and tracking problems in video monitoring and controlling system, this paper mainly studies vehicle detection and tracking problems in conditions of high traffic density in ...
Finally, we implement a real-time vehicle detection and tracking system with the upper methods. Experiments give good results in relative crowded Conditions. ...
There's many algorithms are based on vehicle movements. But, all the algorithms mentioned above are not robust to clutter scenes because they don't get the characteristic feature of vehicles. ...
doi:10.1109/icsmc.2009.5346721
dblp:conf/smc/LuWD09
fatcat:fs7dgidnrjfatd4uwco75fjy6e
Paging Inspector Sands: The Costs of Public Information
2014
American Economic Journal: Economic Policy
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Robust Standard Errors clustered at the intersection level. 2. ...
Robust Standard Errors clustered at the intersection level.
2. ...
doi:10.1257/pol.6.1.92
fatcat:xr3jnftcrnb7veg53ypckucb2a
Traffic Control using Computer Vision
2019
IJARCCE
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As we know that it is the era of speed, so that nobody wants to wait for a long time at any cost. Everybody prefers to low traffic density streets. ...
Vehicle density is measured using predefined classifiers available in image processing. ...
Number of cars in specific region will calculated by the difference of entering and leaving vehicles. ...
doi:10.17148/ijarcce.2019.8406
fatcat:cdj2nk3q5bfafioushyyscp6oa
Wireless Sensors Network Application: A Decentralized Approach for Traffic Control and Management
[chapter]
2012
Wireless Sensor Networks - Technology and Applications
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Acknowledgement This work is supported by the deanship of scientific research (DSR) at KFUPM through research group project No. RG-1105-1.
References ...
Phasing reduces conflicts between traffic movements at signalized intersections. ...
As the number of lanes counted by a single detector increases, the accuracy of the count decreases as multiple vehicles can occupy the same detector at the same time. 5. ...
doi:10.5772/48212
fatcat:qvuxre32hna65bwxtwzc3dkyae
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