Dr John Chiverton
Biography
John has lectured across a range of fields. His teaching has included Digital Signal Processing, Measurements, Circuits and Video Data at UoP and he has worked in signal and image processing for over twenty years with some established collaborators and a track record of supporting research projects at Surrey, Bristol and Portsmouth, including funding from Google and Mitsui Sumitomo Insurance Welfare Foundation. He began academic research with a doctoral training grant in the Centre for Vision, Speech and Signal Processing (CVSSP) at Surrey in the early 2000s, investigating medical image analysis applied to MRI, PET and CT. He is a member of the IET and IEEE. He received awards from IEEE and IPEM and has been the PI for projects concerning the manipulation of data, especially applied to fibrous materials, forecasting of blood pressure and identifying people and their actions.
Research interests
John leads work on techniques for the automated analysis of 3D imaging data. The work is multidisciplinary -
spanning multiple disciplines but concentrating on feature extraction and quantitative inference. The work has been successfully applied to fibrous materials, forecasting of blood pressure and identifying people and their actions.
This includes applications to image analysis of XCT for nano-fibres for biomedical and health applications and steel fibre reinforced concrete. John is also working on automated video processing techniques with applications including assisted living and more general action recognition. John is happy to supervise graduate and research projects in these areas and more generally in the fields of signal and image processing.
Research outputs
2022
Channel and channel subband selection for speaker diarization
Ahmed, A. I., Chiverton, J. P., Ndzi, D. L., Al-Faris, M. M.
1 Sep 2022, In: Computer Speech and Language. 75, 20p., 101367
Research output: Article
2021
Fusion of camera-based vessel detection and AIS for maritime surveillance
Lu, Y., Ma, H., Smart, E., Vuksanovic, B., Chiverton, J., Radhakrishna Prabhu, S. G., Glaister, M., Dunston, E., Hancock, C.
15 Nov 2021,
Research output: Conference contribution
Machine learning based speaker gender classification using transformed features
Ahmed, A. I., Chiverton, J., Ndzi, D. L., Al-Faris, M.
26 Oct 2021,
Research output: Conference contribution
Dense compounded features and data association based multiple people tracking
Al-Faris, M., Chiverton, J., Ndzi, D., Alhabo, M.
26 Oct 2021,
Research output: Conference contribution
Vision based dynamic thermal comfort control using fuzzy logic and deep learning
Al-Faris, M., Chiverton, J., Ndzi, D., Ahmed, A. I.
19 May 2021, In: Applied Sciences (Switzerland). 11, 10, 17p., 4626
Research output: Article
2020
Introducing time-delays to analyze driver reaction times when using a powered wheelchair
Sanders, D., Haddad, M., Langner, M., Omoarebun, P., Chiverton, J., Hassan, M., Zhou, S., Vatchova, B.
25 Aug 2020,
Research output: Conference contribution
Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors
Sanders, D., Haddad, M., Omoarebun, P., Ikwan, F., Chiverton, J., Zhou, S., Rogers, I., Vatchova, B.
25 Aug 2020,
Research output: Conference contribution
Volumetric simulation of nano-fibres and 2D SEM and 3D XCT imaging processes
Chiverton, J., Kao, A., Roldo, M., Tozzi, G.
8 Jul 2020,
Research output: Conference contribution
A review on computer vision-based methods for human action recognition
Al-Faris, M. M. N., Chiverton, J., Ndzi, D. L., Ahmed, A. I.
10 Jun 2020, In: Journal of Imaging. 6, 32p., 6:46
Research output: Article
Multi-view region-adaptive multi-temporal DMM and RGB action recognition
Al-Faris, M. M. N., Chiverton, J., Yang, L., Ndzi, D.
21 Apr 2020, In: Pattern Analysis & Applications, 16p.
Research output: Article