Anh Cat Le Ngo

Research

Visual attention research is concerned with which elements of a visual scene are likely to attract the attention of human observers. This is in contrast to research in traditional image processing which scans the visual scene looking for specific objects (e.g. people, vehicles, etc) that it has been trained to look for. Thus a system trained to look for people would not be able to detect vehicles and vice-versa. A system based on visual attention processing would be able to detect both people and vehicles and also other objects that are likely to attract the attention of human observers without the need for prior training. This has advantages, for example, in a driver assistance system when the system is able to detect a fallen tree on the road (even though the system has not been previously trained to look for trees) and alerts the driver. This project will also develop a vision chip/system prototype for bio-inspired processing which has commercial potential for applications in security, automotive, manufacturing and multimedia.

Teaching & Supervision

• My supervisors are Guoping Qiu, Kenneth Li-Minn Ang, Jasmine Seng Kah Phooi

Current Projects

• Digital Vision Chip / System for Bio-inspired Visual Attention Processing

Esteem

• Visual Information Engineering Group - The University of Malaysia Campus

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.