This paper examines the use of digital video in public safety and surveillance systems.
Traditionally video recordings are used by law enforcement to review events retrospectively …

Recent advancements in artificial intelligence (AI) have seen the emergence of smart video
surveillance (SVS) in many practical applications, particularly for building safer and more …

There is increasing reliance on video surveillance systems for systematic derivation,
analysis and interpretation of the data needed for predicting, planning, evaluating and …

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 modern society, the development of a territory is increasingly tied to the capability to
ensure an adequate level of security to persons and infrastructures. Criminal acts, including …

Abstract The first Video Analytics in Public Safety (VAPS) Workshop was held on Monday,
June 6, 2016, in San Diego, CA as a satellite workshop of the Public Safety Communications …

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

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 …

Real-time social media platforms enable quick information broadcasting and response
during disasters and emergencies. Analyzing the massive amount of generated data to …

Visual video analytics research, stemming from data captured by surveillance cameras,
have mainly focused on traditional computing paradigms, despite emerging platforms …