Extensive networks of surveillance cameras are increasingly deployed in public and private
facilities, with tremendous potential value for safety and security. However, because manual …

We propose a new framework for automatic surveillance camera calibration by observing
videos of pedestrians walking through the scene. Unlike existing methods that require …

Video analytics, loosely defined as autonomous understanding of events occurring in a
scene monitored by multiple video cameras, has been rapidly evolving in the last two …

Tracking people around surveillance systems is becoming increasingly important in the
current security conscious environment. This thesis presents a framework to automatically …

Person tracking across non-overlapping cameras and other types of video analytics benefit
from spatial calibration information that allows an estimation of the distance between …

Video analytics encompasses a range of software enhancements that law enforcement
agencies use to improve public safety and aid investigations. Perimeter, crowd, and object …

From the streets of London to subway stations in New York City, hundreds of thousands of
surveillance cameras ubiquitously collect hundreds of thousands of videos, often running …

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 …

UTOMATED video surveillance addresses real-time observation of people and vehicles
within a busy environment, leading to a description of their actions and interactions. The …

Monitoring of large sites requires coordination between multiple cameras, which in turn
requires methods for relating events between distributed cameras. This paper tackles the …