Results 21 to 30 of about 53,796 (278)
Anomaly Detection in Road Traffic Using Visual Surveillance [PDF]
ACM Computing Surveys, 2020 Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. Timely detection of traffic violations and abnormal behavior of pedestrians at public places through computer vision and visual surveillance can be highly effective for maintaining traffic order in cities. However, despite a handful
K. K. Santhosh, D. P. Dogra, P. P. Roy
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Les recherches en philosophie et l’avenir de la formation philosophique collégiale au Québec. Une étude en épistémologie sociale [PDF]
, 1996 Trajectory data is becoming more and more popular nowadays and extensive studies have been conducted on trajectory data. One important research direction about trajectory data is the anomaly detection which is to find all anomalies based on trajectory ...
Chen, Youyang +9 more
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Real-Time Road Traffic Anomaly Detection
Journal of Transportation Technologies, 2014 Many modeling approaches have been proposed to help forecast and detect incidents. Accident has received the most attention from researchers due to its impacts economically. The traffic congestion costs billions of dollars to economy. The main reasons of major percentage of traffic congestion are the incidents.
Jamal Raiyn, Tomer Toledo
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Privacy-Friendly Mobility Analytics using Aggregate Location Data [PDF]
, 2016 Location data can be extremely useful to study commuting patterns and disruptions, as well as to predict real-time traffic volumes. At the same time, however, the fine-grained collection of user locations raises serious privacy concerns, as this can ...
De Cristofaro, Emiliano +2 more
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A Three-Stage Anomaly Detection Framework for Traffic Videos
Journal of Advanced Transportation, 2022 As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50 million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate emergency response and rescue measures are essential to reduce ...
Junzhou Chen +3 more
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Enabling real-time road anomaly detection via mobile edge computing
International Journal of Distributed Sensor Networks, 2019 To discover road anomalies, a large number of detection methods have been proposed. Most of them apply classification techniques by extracting time and frequency features from the acceleration data. Existing methods are time-consuming since these methods
Zengwei Zheng +4 more
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Streaming-Based Anomaly Detection in ITS Messages
Applied Sciences, 2023 Intelligent transportation systems (ITS) enhance safety, comfort, transport efficiency, and environmental conservation by allowing vehicles to communicate wirelessly with other vehicles and road infrastructure.
Juliet Chebet Moso +4 more
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POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors [PDF]
, 2018 For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions. In particular, long wave infrared (LWIR) sensors that receive predominantly emitted radiation have the ...
Connor, Barry +4 more
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Detection of Road Traffic Anomalies Based on Computational Data Science [PDF]
Discover Internet of Things, 2022 Abstract The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. The AV acts autonomously and collects travel data based on various smart devices and sensors, with the goal of enabling it to operate under its own power.
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Ground-penetrating radar evaluation of the ancient Mycenaean monument Tholos Acharnon tomb [PDF]
, 2016 The assessment of cultural heritage requires high-resolution and non-destructive methodologies. Ground-penetrating radar is widely applied in the inspection of historical buildings.
Anagnostopoulou, Eirini +5 more
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