Christopher Madden Email & Phone Number

Australia

Melbourne, Australia

Melbourne, Australia

My role investigates the application of the latest Computer Vision and Display research to investigate how realistic synthetic imagery can be. This investigates the use of virtual worlds and other techniques to generate synthetic videos and imagery that can be used to analyse how objects might look in an environment. It will also investigate which steps.

Melbourne

My role here is to assist DST Group researchers to collaborate on their research tasks with the best external organisations, whether academic, government or industry based. This includes identifying good opportunities for collaboration as well as putting in place the Research contracts. Whilst my role primarily focuses on the Maritime Division, I am part.

Melbourne

My role has investigated the effective use of unmanned systems in the maritime domain, with a strong focus on the challenging area of underwater robotics. This has included a range of activities on a large underwater vehicle, including software development, systems integration, sensor analysis and piloting the vehicle. My work also involved the development.

My main area of research was investigating techniques for improved sensor analysis, primarily in image and video analysis. The group I worked with had a particular focus upon object analysis in large scale real systems, including fixed and moving surveillance cameras. My work also investigated utilising active platforms, such as intelligent PTZ cameras and.

At the University of Technology Sydney, UTS, I conducted a PhD Research project into the Application of Computer Vision techniques to perform semi automated video surveillance across a whole building or campus. This resulted in a PhD thesis titled 'Tracking People Across Disjoint Camera Views' where I enhanced the extraction of a set of height and colour.

Kingston Upon Thames, United Kingdom

My main research project involved the development of a real-time robotic vision system using a range of algorithms for the MOD Grand Challenge. This was a challenging task due to the limited computational power available on a moving platform that was required to be highly automated in a somewhat cluttered human environment. The field trials we produced a.

Phd

Diploma Of Leadership And Management

Bachelor

Bachelor