Real-time vehicle detection, tracking and counting from surveillance cameras is a main part
for many applications in smart cities. Usually, this task encounters some problems in …

The rapid development of the internet of things (IoT), sensing technologies, and machine
learning and deep learning techniques, along with the growing variety and volume of data …

Illegal parking represents a costly problem for most cities as it leads to an increase in traffic
congestion and emission of air pollutants, and decreases pedestrian, biking, and driving …

Vacant parking slot detection using image classification has been studied for a long time.
Currently, deep neural networks are widely used in this research field, and experts have …

Illegal parking is a ubiquitous problem faced by urban cities, posing potential traffic
impediments and safety risks to other road users. Surveillance video captured is stored for …

Illegal parking is a violation that often occurs in urban areas. Supervision is conducted in
places where parking is prohibited to overcome this problem. Manual monitoring requires …

The surge in the volume of vehicles on the roads has led to a significant increase in traffic
issues. The current transportation and parking facilities are inadequate to handle this rise …

Urban areas commonly encounter traffic congestion. One of its primary causes is motorists
violating traffic regulations, such as travelling at excessive speeds. Besides risking the safety …

AbstractThe key accomplishments of the project are summarized as follows. The team
conducted a literature review on computer vision for smart cities with a focus on …

A key factor leading to the inefficiency of transportation systems is the lack of real-time, fine-
grained traffic analytics. An average motorist in the United States spends a significant …