Implementation of an elaborated neuromorphic model of a biological photoreceptor. - Eng-Leng Mah; Russell S. A. Brinkworth; David C. O'Carroll (Biol. Cybern., 2008)

Surveillance Applications of Biologically-Inspired Smart Cameras. - Kosta Haltis; Lee Andersson; Matthew Sorell; Russell S. A. Brinkworth (e-Forensics, 2009)

Robust Models for Optic Flow Coding in Natural Scenes Inspired by Insect Biology. - Russell S. A. Brinkworth; David C. O'Carroll (PLoS Comput. Biol., 2009)

Bio-inspired model for robust motion detection under noisy conditions. - Russell S. A. Brinkworth; David C. O'Carroll (IJCNN, 2010)

A Biologically Inspired Smart Camera for Use in Surveillance Applications. - Kosta Haltis; Matthew Sorell; Russell S. A. Brinkworth (Int. J. Digit. Crime Forensics, 2010)

A novel detection approach using bio-inspired vision for enhanced object tracking in video. - James A. Dowley; Kutluyil Dogancay; Russell S. A. Brinkworth (ISSNIP, 2013)

Mobile robotic active view planning for physiotherapy and physical exercise guidance. - Kalana Ishara; Ivan Lee 001; Russell S. A. Brinkworth (RAM/CIS, 2015)

Fall Recovery Subactivity Recognition With RGB-D Cameras. - Kalana Ishara Withanage; Ivan Lee 001; Russell S. A. Brinkworth; Shylie Mackintosh; Dominic Thewlis (IEEE Trans. Ind. Informatics, 2016)

Real-Time Visual Rotational Velocity Estimation Using a Biologically-Inspired Algorithm on Embedded Hardware. - Phillip S. M. Skelton; Anthony Finn; Russell S. A. Brinkworth (DICTA, 2017)

Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision. - Victor Stamatescu; Peter Barsznica; Manjung Kim; Kin K. Liu; Mark McKenzie; Will Meakin; Gwilyn Saunders; Sebastien C. Wong; Russell S. A. Brinkworth (DICTA, 2017)

Integration of Biologically Inspired Pixel Saliency Estimation and IPDA Filters for Multi-target Tracking. - Daniel Griffiths; Laleh Badriasl; Tony Scoleri; Russell S. A. Brinkworth; Sanjeev Arulampalam; Anthony Finn (ACPR (1), 2019)

Using Style-Transfer to Understand Material Classification for Robotic Sorting of Recycled Beverage Containers. - Mark D. McDonnell; Bahar Moezzi; Russell S. A. Brinkworth (DICTA, 2019)

Enhanced Micro Target Detection through Local Motion Feedback in Biologically Inspired Algorithms. - Aaron Melville-Smith; Anthony Finn; Russell S. A. Brinkworth (DICTA, 2019)

Insect-Inspired Small Moving Target Enhancement in Infrared Videos. - Muhammad Uzair; Russell S. A. Brinkworth; Anthony Finn (DICTA, 2019)

Consistent estimation of rotational optical flow in real environments using a biologically-inspired vision algorithm on embedded hardware. - Phillip S. M. Skelton; Anthony Finn; Russell S. A. Brinkworth (Image Vis. Comput., 2019)

Improving an Optical Flow Estimator Inspired by Insect Biology using Adaptive Genetic Algorithms. - Phillip S. M. Skelton; Anthony Finn; Russell S. A. Brinkworth (CEC, 2020)

A bio-inspired spatiotemporal contrast operator for small and low-heat-signature target detection in infrared imagery. - Muhammad Uzair; Russell S. A. Brinkworth; Anthony Finn (Neural Comput. Appl., 2021)

Detecting Small Size and Minimal Thermal Signature Targets in Infrared Imagery Using Biologically Inspired Vision. - Muhammad Uzair; Russell S. A. Brinkworth; Anthony Finn (Sensors, 2021)

Bio-Inspired Video Enhancement for Small Moving Target Detection. - Muhammad Uzair; Russell S. A. Brinkworth; Anthony Finn (IEEE Trans. Image Process., 2021)

An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data. - Lucas C. F. Domingos; Paulo E. Santos; Phillip S. M. Skelton; Russell S. A. Brinkworth; Karl Sammut (IEEE Access, 2022)

Exploration of motion inhibition for the suppression of false positives in biologically inspired small target detection algorithms from a moving platform. - Aaron Melville-Smith; Anthony Finn; Muhammad Uzair; Russell S. A. Brinkworth (Biol. Cybern., 2022)

Contrast independent biologically inspired translational optic flow estimation. - Phillip S. M. Skelton; Anthony Finn; Russell S. A. Brinkworth (Biol. Cybern., 2022)

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance. - Lucas C. F. Domingos; Paulo E. Santos; Phillip S. M. Skelton; Russell S. A. Brinkworth; Karl Sammut (Sensors, 2022)

Efficient Sampling of Bayer Pattern for Long Range Small Target Detection in Color Images. - Muhammad Uzair; Anthony Finn; Russell S. A. Brinkworth (IVCNZ, 2023)

Driving Industrial Digital Transformation. - Temitayo Abiodun; Giselle Rampersad; Russell S. A. Brinkworth (J. Comput. Inf. Syst., 2023)

A generalised novel loss function for computational fluid dynamics. - Zachary Cooper-Baldock; Paulo E. Santos; Russell S. A. Brinkworth; Karl Sammut (CoRR, 2024)