Doctor of Philosophy (Queensland University of Technology), B. Engineering (Aero/Av) (1st Hon) (Queensland University of Technology)
Clinton Fookes is a Professor in Vision & Signal Processing and the SAIVT group (Signal Processing, Artificial Intelligence and Vision Technologies) within the School of Electrical Engineering & Robotics of the Faculty of Engineering at QUT. He holds a BEng (Aerospace/Avionics), an MBA with a focus on technology innovation/management, and a PhD in the field of computer vision. Clinton actively researches in the fields of computer vision and machine learning including video analytics, biometrics, human-computer interaction, signal processing, and medical imaging. Clinton has published over 250 internationally peer-reviewed articles and has attracted over $20M of cash funding for fundamental and applied research from external competitive sources. This includes 10 Australian Category 1 grants funded from the Australian Research Council and the Department of Prime Minister and Cabinet. He has been the Director of Research for the School of Electrical Engineering & Computer Science and the Head of Discipline for Vision & Signal Processing. He is currently the AI Theme Leader for SmartSat - a $250M Cooperative Research Centre which is building Australia’s space industry. He serves on the editorial boards for the IEEE Transactions on Image Processing, the Pattern Recognition Journal, and the IEEE Transactions on Information Forensics & Security. He is a Senior Member of the IEEE and a multi-award winning researcher including an Australian Institute of Policy and Science Young Tall Poppy, an Australian Museum Eureka Prize winner, Engineers Australia Engineering Excellence Award, QLD’s Top 50 Best and Brightest, and a Senior Fulbright Scholar.
Projects
- Automated Video Endoscopy Data Analysis
- Crowd Monitoring Using Computer Vision
- Handheld 3D Thermography using Range Sensing and Computer Vision
- Human Action Anticipation
- Human Identification in Video Surveillance Using Improved Gait Recognition Approaches
- Optimal Camera Placement
- Person Re-identification using Soft-Biometrics
- Trajectory Based Human Behaviour Understanding
- Unusual Event Detection in Crowded Scenes
Additional information
Research Areas
- Computer Vision, Machine Learning, Pattern Recognition, Deep Learning, Image Analysis.
- Video Surveillance, Biometrics, Person Tracking, Super-Resolution, Camera Management.
- Face & Expression Recognition, Human Activity Recognition, Gait Recognition.
- Medical Imaging, Signal Processing, Human-Computer Interaction, Visual Attention.
- Airport Security, Screening, Airport Operations.
Research applications include:
- Security – biometrics, video surveillance and vehicle monitoring.
- Aviation – aviation security, screening, performance monitoring and access control.
- Medical Imaging – image registration, image screening and visual attention.
- Infrastructure – complex systems and operational monitoring.
Professional Service
- Editorial Board member for the IEEE Transactions on Information Forensics & Security, no.1 ranked security journal (impact factor 6.211)
- Conference Organising Committees: Area Chair for the International Joint Conference on Biometrics 2020 (IJCB); Publication Chair for the IEEE International Conference on Automatic Face & Gesture Recognition 2019 (FG); Local Chair for the IAPR/IEEE International Conference on Biometrics 2018 (ICB); Competitions Co-Chair for the IAPR/IEEE International Joint Conference on Biometrics 2017 (IJCB); Technical Program Chair for APRS Digital Image Computing Techniques & Applications 2016 (DICTA); Exhibits Co-Chair for the IEEE International Conference on Acoustics, Speech and Signal Processing 2015 (ICASSP); Area Chair for the IAPR/IEEE International Conference on Pattern Recognition 2014 (ICPR)
- Technical Committees include: ICPR, ICB, IJCB, AVSS, ACCV, ICASSP, FG, DICTA.
- Reviewer: IEEE Transactions on Image Processing; Pattern Analysis & Machine Intelligence; Image and Vision Computing; Pattern Recognition; Pattern Recognition Letters; Computer Vision & Image Understanding; ARC Assessor.
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2021
- Details
- Editorial Board Member for the IEEE Transactions on Information Forensics & Security (2017-Present).
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2021
- Details
- Editorial Board Member for the Pattern Recognition Journal (2020-Present).
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2017
- Details
- Senior Fulbright Scholar
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2012
- Details
- Graduate Management Association of Australia Award for Entrepreneurship 2012
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2011
- Details
- Engineers Australia QLD Division Engineering Excellence Award for Research & Development 2011
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2010
- Details
- Top 50 Best & Brightest Talents in QLD in 2010
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2010
- Details
- Eureka Prize Winner - Recipient of the Australian Museum Eureka Prize People's Choice Award in 2010, and title of "Australia's Favourite Scientist", for scientific research and innovation.
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2009
- Details
- Australian Institute of Policy & Science Young Tall Poppy Science Award 2009
- Nguyen, K., Fookes, C. & Sridharan, S. (2020). Context from within: Hierarchical context modeling for semantic segmentation. Pattern Recognition, 105. https://eprints.qut.edu.au/200208
- Ahmedt Aristizabal, D., Fernando, T., Denman, S., Robinson, J., Sridharan, S., Johnston, P., Laurens, K. & Fookes, C. (2021). Identification of children at risk of schizophrenia via deep learning and EEG responses. IEEE Journal of Biomedical and Health Informatics, 25(1), 69–76. https://eprints.qut.edu.au/200002
- Fernando, T., Denman, S., Ahmedt-Aristizabal, D., Sridharan, S., Laurens, K., Johnston, P. & Fookes, C. (2020). Neural memory plasticity for medical anomaly detection. Neural Networks, 127, 67–81. https://eprints.qut.edu.au/199962
- Nguyen Thanh, K., Fookes, C., Sridharan, S., Tistarelli, M. & Nixon, M. (2018). Super-resolution for biometrics: A comprehensive survey. Pattern Recognition, 78, 23–42. https://eprints.qut.edu.au/116716
- Warnakulasuriya, T., Denman, S., Mcfadyen, A., Sridharan, S. & Fookes, C. (2018). Tree memory networks for modelling long-term temporal dependencies. Neurocomputing, 304, 64–81. https://eprints.qut.edu.au/118092
- Nguyen Thanh, K., Fookes, C., Jillela, R., Sridharan, S. & Ross, A. (2017). Long range iris recognition: A survey. Pattern Recognition, 72, 123–143. https://eprints.qut.edu.au/107574
- Kaesemodel Pontes, J., Kong, C., Eriksson, A., Fookes, C., Sridharan, S. & Lucey, S. (2017). Compact model representation for 3D reconstruction. Proceedings of the 2017 International Conference on 3D Vision (3DV 2017), 88–96. https://eprints.qut.edu.au/112624
- Gammulle, P., Denman, S., Sridharan, S. & Fookes, C. (2017). Two stream LSTM: A deep fusion framework for human action recognition. Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV 2017), 177–186. https://eprints.qut.edu.au/118097
- Kaesemodel Pontes, J., Britto Jr, A., Fookes, C. & Koerich, A. (2016). A flexible hierarchical approach for facial age estimation based on multiple features. Pattern Recognition, 54, 34–51. https://eprints.qut.edu.au/92300
- Ryan, D., Denman, S., Sridharan, S. & Fookes, C. (2015). An evaluation of crowd counting methods, features and regression models. Computer Vision and Image Understanding, 130, 1–17. https://eprints.qut.edu.au/75845
- Title
- Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP200101942
- Start year
- 2021
- Keywords
- Title
- One shot three-dimensional reconstruction of human anatomy and motion
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP170100632
- Start year
- 2017
- Keywords
- Title
- Improving Productivity and Efficiency of Australian Airports - A Real Time Analytics and Statistical Approach
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP140100282
- Start year
- 2015
- Keywords
- Bayesian Networks; Video Analytics; Operations Management
- Title
- Monitoring intuitive expertise in the context of airport security screening
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP140100221
- Start year
- 2015
- Keywords
- Intuitive Expertise; Airport Security; Automated Monitoring
- Title
- Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP140100793
- Start year
- 2014
- Keywords
- Face Processing; Face Recognition; Computer Vision
- Title
- Omniscient Face Recognition for Uncooperative Subjects
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP110100827
- Start year
- 2011
- Keywords
- Face Recognition; Computer Vision; Biometrics; Image Processing
- Title
- Intelligent Surveillance Research for Crowd Monitoring and Event Detection
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- PR09-0089
- Start year
- 2010
- Keywords
- Video Surveillance; Video Event Detection
- Title
- Airports of the Future
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP0990135
- Start year
- 2009
- Keywords
- Complex Systems Engineering; Airport Operations Management; Business Process Modelling; Surveillance and Identity Management; Human Systems Interaction; Risk and Emergency Management