Computer vision and machine learning have brought revolutionary shifts in perception for
researchers, scientists, and the general populace. Once thought to be unattainable, these …

New data sources such as video promise to provide insights into how humans navigate
urban infrastructure and enable analysis of human-in-the-loop interactions. This work …

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

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

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 …

Intelligent video analysis from sources such as urban surveillance cameras is a prolific
research area today. Multiple types of computer architectures offer a wide range of …

Addressing public safety effectively requires incorporating diverse stakeholder perspectives,
particularly those of the community, which are often underrepresented compared to other …

In this paper, we present a visual analytics approach that provides decision makers with a
proactive and predictive environment in order to assist them in making effective resource …

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

In surveillance applications, humans and vehicles are the most important common elements
studied. In consequence, detecting and matching a person or a car that appears on several …