[HTML][HTML] Edge-computing video analytics for real-time traffic monitoring in a smart city
The increasing development of urban centers brings serious challenges for traffic
management. In this paper, we introduce a smart visual sensor, developed for a pilot project …
management. In this paper, we introduce a smart visual sensor, developed for a pilot project …
[HTML][HTML] Artificial intelligence-enabled traffic monitoring system
Manual traffic surveillance can be a daunting task as Traffic Management Centers operate a
myriad of cameras installed over a network. Injecting some level of automation could help …
myriad of cameras installed over a network. Injecting some level of automation could help …
Real-time traffic analysis using deep learning techniques and UAV based video
In urban environments there are daily issues of traffic congestion which city authorities need
to address. Realtime analysis of traffic flow information is crucial for efficiently managing …
to address. Realtime analysis of traffic flow information is crucial for efficiently managing …
Urban traffic flow analysis based on deep learning car detection from CCTV image series
Traffic flow analysis is fundamental for urban planning and management of road traffic
infrastructure. Automatic number plate recognition (ANPR) systems are conventional …
infrastructure. Automatic number plate recognition (ANPR) systems are conventional …
[HTML][HTML] Detecting, tracking and counting people getting on/off a metropolitan train using a standard video camera
The main source of delays in public transport systems (buses, trams, metros, railways) takes
place in their stations. For example, a public transport vehicle can travel at 60 km per hour …
place in their stations. For example, a public transport vehicle can travel at 60 km per hour …
Multi-modal generative adversarial networks for traffic event detection in smart cities
Advances in the Internet of Things have enabled the development of many smart city
applications and expert systems that help citizens and authorities better understand the …
applications and expert systems that help citizens and authorities better understand the …
Vehicular traffic flow prediction using deployed traffic counters in a city
The sustainable growth of cities created the need for better informed decisions based on
information and communication technologies to sense the city and quantify its pulse. An …
information and communication technologies to sense the city and quantify its pulse. An …
Smart traffic monitoring system using computer vision and edge computing
Traffic management systems capture tremendous video data and leverage advances in
video processing to detect and monitor traffic incidents. The collected data are traditionally …
video processing to detect and monitor traffic incidents. The collected data are traditionally …
TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems
Smart traffic engineering and intelligent transportation services are in increasing demand
from governmental authorities to optimize traffic performance and thus reduce energy costs …
from governmental authorities to optimize traffic performance and thus reduce energy costs …
Westland row why so slow? Fusing social media and linked data sources for understanding real-time traffic conditions
The advent of real-time traffic streaming offers users the opportunity to visualise current
traffic conditions and congestion information. However, real-time information highlighting the …
traffic conditions and congestion information. However, real-time information highlighting the …