Phillip S. M. Skelton

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 6

Top Topics

Motion Segmentation

Genetic Algorithm

Top Venues

Image Vis. Comput.

Publications

Lucas C. F. Domingos, Paulo E. Santos, Phillip S. M. Skelton, Russell S. A. Brinkworth, Karl Sammut
An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data. IEEE Access 10 (2022)
Lucas C. F. Domingos, Paulo E. Santos, Phillip S. M. Skelton, Russell S. A. Brinkworth, Karl Sammut
A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance. Sensors 22 (6) (2022)
Phillip S. M. Skelton, Anthony Finn, Russell S. A. Brinkworth
Contrast independent biologically inspired translational optic flow estimation. Biol. Cybern. 116 (5) (2022)
Phillip S. M. Skelton, Anthony Finn, Russell S. A. Brinkworth
Improving an Optical Flow Estimator Inspired by Insect Biology using Adaptive Genetic Algorithms. CEC (2020)
Phillip S. M. Skelton, Anthony Finn, Russell S. A. Brinkworth
Consistent estimation of rotational optical flow in real environments using a biologically-inspired vision algorithm on embedded hardware. Image Vis. Comput. 92 (2019)
Phillip S. M. Skelton, Anthony Finn, Russell S. A. Brinkworth
Real-Time Visual Rotational Velocity Estimation Using a Biologically-Inspired Algorithm on Embedded Hardware. DICTA (2017)