ABSTRACT The adoption of Artificial Intelligence (AI) technologies across various real-world
applications for human performance augmentation demonstrates an unprecedented …

This study presents a scalable automated video surveillance framework that (1)
automatically detects the occurrences of abnormal behavior patterns by both pedestrians …

Monitoring public facilities is essential for governments to establish safer, cleaner, and more
resilient cities, ultimately benefiting all citizens. One promising approach for public facility …

Graphical analysis serves as a pivotal tool for unraveling the complexities of smart cities
through visual representation, bolstering the efficacy of urban planning and resource …

Campus safety is a paramount concern in educational institutions worldwide, especially in
combating the prevalence of campus violence. This comprehensive review utilizes …

Surveillance videos are important for public security. However current surveillance video
tasks mainly focus on classifying and localizing anomalous events. Existing methods are …

The manual analysis of surveillance videos is unfeasible due to the excessive amount of
data, the associated subjectivity, or the eventual presence of distracting noise. Automatic …

In 2007, only 13 percent of US law enforcement agencies reported having one or more
surveillance cameras permanently mounted in a public area, partly because surveillance …

Nowhere is the need to understand large heterogeneous datasets more important than in
disaster monitoring and emergency response, where critical decisions have to be made in a …

Access to high-quality data is an important barrier in the digital analysis of urban settings,
including applications within computer vision and urban design. Diverse forms of data …