He teaches computer programming to undergraduates and researches computer vision and visual surveillance.
Advanced visual surveillance systems not only need to track moving objects but also interpret their patterns of behaviour.
Visual surveillance in the maritime domain has been explored for more than a decade.
The majority of visual surveillance algorithms rely on effective and accurate motion detection.
Police conduct visual surveillance with binoculars, telescopes, cameras with telephoto lenses, video recorders, and closed-circuit television (CCTV).
The aim of the work is to build self-growing based architectures to support visual surveillance and human computer interaction systems.
This provides a robust visual tracking system which is capable of performing accurately and consistently within a real world visual surveillance arena.
A typical application would be the monitoring of a secure site, or any visual surveillance application deploying a network of cameras.
Automatic age and gender classification has been widely used in a large amount of applications, particularly in human-computer interaction, biometrics, visual surveillance, electronic customer, and commercial applications.
Computer vision problems focused on solving problems in the domain of visual surveillance have been developed aiming at finding accurate and efficient solutions.
Real-time Human action classification in complex scenes has applications in various domains such as visual surveillance, video retrieval and human robot interaction.
