Designing robust activity detectors for fixed camera surveillance video requires knowledge
of the 3-D scene. This paper presents an automatic camera calibration process that provides …

The purpose of this research project is to find the best solution for measuring the distance
between people in a video to track the possible COVID-19 social-distancing. This research …

Advances in hardware and algorithms are driving the exponential growth of Internet of
Things (IoT), with increasingly more pervasive computations being performed near the data …

Pedestrian position estimation in videos is an important technique for enhancing
surveillance system applications. Although many studies estimate pedestrian positions by …

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

Known scene geometry and camera calibration parameters give important information to
video content analysis systems. In this paper, we propose a novel method for camera pose …

Recent advancements in energy-efficient hardware technology is driving the exponential
growth we are experiencing in the Internet of Things (IoT) space, with more pervasive …

In this paper, we present a novel method to overcome the common constraint of traditional
camera calibration methods of surveillance systems where all objects move on a single …

Human detection and tracking has been a prominent research area for several scientists
around the globe. State of the art algorithms have been implemented, refined and …

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